This article has two main goals: to examine and classify the ways data can be used to advance normative theorizing in political theory, and to demonstrate such usages in the contested disciplinary field of religion–state relations and specifically regarding the hotly debated model of the separation of religion and state. Regarding the former, it is suggested here that the general observation that evaluation of political institutions must rely on proper understanding of such institutions and hence be data-sensitive, can (...) be further detailed or classified, via the following categories: conversion, institutional clarity, theoretical clarity and finally, theory improvement. With regard to the latter we examine how data regarding religion–state relations enables a better understanding (via the noted novel classifications or categories) of two important debates: ‘delineation’ (i.e. the argument that pure separation of religion and state does not exist) and ‘separation-establishment’ (i.e. arguing that models other than separation are permissible in religion–state relations). (shrink)

This article has two main goals: to examine and classify the ways data can be used to advance normative theorizing in political theory, and to demonstrate such usages in the contested disciplinary field of religion–state relations and specifically regarding the hotly debated model of the separation of religion and state. Regarding the former, it is suggested here that the general observation that evaluation of political institutions must rely on proper understanding of such institutions and hence be data-sensitive, can (...) be further detailed or classified, via the following categories: conversion, institutional clarity, theoretical clarity and finally, theory improvement. With regard to the latter we examine how data regarding religion–state relations enables a better understanding (via the noted novel classifications or categories) of two important debates: ‘delineation’ (i.e. the argument that pure separation of religion and state does not exist) and ‘separation-establishment’ (i.e. arguing that models other than separation are permissible in religion–state relations). (shrink)

Increasing numbers of decisions about everyday life are made using algorithms. By algorithms we mean predictive models (decision rules) captured from historical data using data mining. Such models often decide prices we pay, select ads we see and news we read online, match job descriptions and candidate CVs, decide who gets a loan, who goes through an extra airport security check, or who gets released on parole. Yet growing evidence suggests that decision making by algorithms may discriminate people, (...) even if the computing process is fair and well-intentioned. This happens due to biased or non-representative learning data in combination with inadvertent modeling procedures. From the regulatory perspective there are two tendencies in relation to this issue: (1) to ensure that data-driven decision making is not discriminatory, and (2) to restrict overall collecting and storing of private data to a necessary minimum. This paper shows that from the computing perspective these two goals are contradictory. We demonstrate empirically and theoretically with standard regression models that in order to make sure that decision models are non-discriminatory, for instance, with respect to race, the sensitive racial information needs to be used in the model building process. Of course, after the model is ready, race should not be required as an input variable for decision making. From the regulatory perspective this has an important implication: collecting sensitive personal data is necessary in order to guarantee fairness of algorithms, and law making needs to find sensible ways to allow using such data in the modeling process. (shrink)

This paper examines classification practices in the domain of plant data semantics, and particularly methods used to label plant traits to foster the collection, management, linkage and analysis of data about crops across locations—which crucially inform research and interventions on plants and agriculture. The efforts required to share data place in sharp relief the forms of diversity characterizing the systems used to capture the biological and environmental characteristics of plant variants: particularly the biological, cultural, scientific and semantic (...) diversity affecting the identification and description of plant traits, the methods used to generate and process data, and the goals and skills of those with relevant expertise—including farmers and breeders. Through a study of the Crop Ontology (which explicitly recognizes and negotiates diversity) and its application to cassava breeding, I argue for a process-sensitive approach to the naming of plant traits that focuses on documenting environmental processes instead of biological products. I claim that this approach can foster reliable linkage and robust re-use of plant data, while at the same time facilitating dialogue between data scientists, plant researchers, breeders, and other relevant experts in ways that crucially inform agricultural interventions. I conclude that the study of data semantics and related descriptors constitutes a productive and underexplored way to think about the epistemic import of naming traits within plant science. The effort to articulate semantic differences among plant varieties and methods of data processing can generate newly inclusive ways to develop and communicate biological knowledge. In turn, such practices have the potential to defy existing understandings of systematisation and hierarchies of expertise in biology, thus bolstering the extent to which plant science can support biodiversity and sustainable agriculture. (shrink)

Some would argue that the more promising areas of business ethics research are "sensitive." In such areas, it would be expected that subjects, if inclined to respond at all, would be guarded in their responses, or respond inaccurately. We provide an introduction to an empirical approach -- the unmatched block count (UCT) -- for collecting these potentially sensitive data which provides absolute anonymity and confidentiality to subjects and "legal immunity" to the researcher. Interestingly, under UCT protocol researchers could not (...) divulge subjects' responses even if they were inclined to do so. Beyond that, UCTs provide complete disclosure to subjects and there is no deception. (shrink)

Some would argue that the more promising areas of business ethics research are "sensitive." In such areas, it would be expected that subjects, if inclined to respond at all, would be guarded in their responses, or respond inaccurately. We provide an introduction to an empirical approach -- the unmatched block count (UCT) -- for collecting these potentially sensitive data which provides absolute anonymity and confidentiality to subjects and "legal immunity" to the researcher. Interestingly, under UCT protocol researchers could not (...) divulge subjects' responses even if they were inclined to do so. Beyond that, UCTs provide complete disclosure to subjects and there is no deception. (shrink)

Abstract When new methods of generating information about individuals leave the confined space of research application the possibility of morally dubious application arises. The current propagation of neuroscientific diagnostics leads to new possibilities of misuse and accordingly new needs for the protection of individual privacy emerge. While most current privacy discussion focuses on sensationalist applications which aim/claim to gather information about psychological traits or even the content of thoughts, the more sober but much more realistic endeavour to gather health (...) class='Hi'>data from research or medical imaging studies is widely neglected. I will try to answer the question if and in how far data from neuroscientific imaging technologies require special protection. Two developments form the background of the ethical discussion: the increased diagnostic power of neuroimaging techniques and the wider distribution of this technology beyond specialized medical offices and clinics. The first development is likely to broaden the scope of data, which are considered relevant for health care and related decisions. The latter is likely to widen the scope of persons who might have access to diagnostic results without at the time taking the role of a doctor towards the person diagnosed. I will argue that neuroimaging data are currently primarily medical data and that the associated standards of consent and confidentiality are worth protecting. Even nonmedical applications of neuroimaging technology inherit too much of the diagnostic power for which they were originally invented, for it to be advisable to drop the accompanying consent and confidentiality requirements. (shrink)

The research aims to investigate the characteristics and risks associated with the handling of sensitive data in the implementation of public policies within the digital government model. To achieve this, a hypothetical-deductive method and bibliographic and documentary procedures are employed, proposing an interdisciplinary discussion on technological advancement, data protection, transparency, and public policies. The justification revolves around the importance of a comprehensive, cohesive system that genuinely protects sensitive personal data, considering the need to keep pace with technological (...) developments and maintain a minimum level of security in the digital age at both national and international levels. There is no doubt that the judicious and strategic use of data has the potential to drive substantial improvements in policy evaluation, decision-making, and the relationship between government and citizens. However, dealing with personal data also means addressing risks with responsibility, transparency, and respect for individual rights. (shrink)

What happens when the scientific tradition of openness clashes with potential societal risks? The work of American toxic-exposure epidemiologists can attract media coverage and lead the public to change health practices, initiate lawsuits, or take other steps a study’s authors might consider unwarranted. This paper, reporting data from 61 semi-structured interviews with U.S. toxic-exposure epidemiologists, examines whether such possibilities shaped epidemiologists’ selection of journals for potentially sensitive papers. Respondents manifested strong support for the norm of scientific openness, but a (...) significant minority had or would/might, given the right circumstances, publish sensitive data in less visible journals, so as to prevent unwanted media or public attention. Often, even those advocating such limited “burial” upheld openness, claiming that less visible publication allowed them to avoid totally withholding the data from publication. However, 15% of the sample had or would, for the most sensitive types of data, withhold publication altogether. Rather than respondents explaining their actions in terms of an expected split between “pure science” and “social advocacy” models, even those publishing in the more visible journals often described their actions in terms of their “responsibility”. Several practical limitations (particularly involving broader access to scientific literature via the Internet) of the strategy of burial are discussed, and some recommendations are offered for scientists, the media, and the public. (shrink)

Cho and Martinez-Martin (2023) provide a compelling critique of the profound influence that data sourcing for artificial intelligence (AI) has on the healthcare sector. They emphasize the need for...

One of the core goals of Digital Health Technologies (DHT) is to transform healthcare services and delivery by shifting primary care from hospitals into the community. However, achieving this goal will rely on the collection, use and storage of large datasets. Some of these datasets will be linked to multiple sources, and may include highly sensitive health information that needs to be transferred across institutional and jurisdictional boundaries. The growth of DHT has outpaced the establishment of clear legal pathways to (...) facilitate the collection, use and transfer of potentially sensitive health data. Our study aimed to address this gap with an ethical code to guide researchers developing DHT with international collaborative partners in Singapore. We generated this code using a modified Policy Delphi process designed to engage stakeholders in the deliberation of health data ethics and governance. This paper reports the outcomes of this process along with the key components of the code and identifies areas for future research. (shrink)

Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to address aspects of these concerns through communities such as discrimination-aware data mining and fairness, accountability and transparency machine learning, their practical implementation faces real-world challenges. For legal, institutional or commercial reasons, organisations might not hold the data on sensitive attributes such as gender, ethnicity, sexuality or disability needed to diagnose and mitigate emergent (...) indirect discrimination-by-proxy, such as redlining. Such organisations might also lack the knowledge and capacity to identify and manage fairness issues that are emergent properties of complex sociotechnical systems. This paper presents and discusses three potential approaches to deal with such knowledge and information deficits in the context of fairer machine learning. Trusted third parties could selectively store data necessary for performing discrimination discovery and incorporating fairness constraints into model-building in a privacy-preserving manner. Collaborative online platforms would allow diverse organisations to record, share and access contextual and experiential knowledge to promote fairness in machine learning systems. Finally, unsupervised learning and pedagogically interpretable algorithms might allow fairness hypotheses to be built for further selective testing and exploration. Real-world fairness challenges in machine learning are not abstract, constrained optimisation problems, but are institutionally and contextually grounded. Computational fairness tools are useful, but must be researched and developed in and with the messy contexts that will shape their deployment, rather than just for imagined situations. Not doing so risks real, near-term algorithmic harm. (shrink)

It is proposed here that there is a sensitive period in the first two to three years of life during which humans acquire a basic knowledge of what foods are safe to eat. In support of this, it is shown that willingness to eat a wide variety of foods is greatest between the ages of one and two years, and then declines to low levels by age four. These data also show that children who are introduced to solids unusually (...) late have a narrower diet breadth throughout childhood, perhaps because the duration of the sensitive period has been shortened. By reducing the costs associated with learning, a sensitive period for food learning should be adaptive for any omnivore (including early humans) that remains in the same environment throughout its life. (shrink)

Kolodny and MacFarlane have made a pioneering contribution to our understanding of how the interpretation of deontic modals can be sensitive to evidence and information. But integrating the discussion of information-sensitivity into the standard Kratzerian framework for modals suggests ways of capturing the relevant data without treating deontic modals as “informational modals” in their sense. I show that though one such way of capturing the data within the standard semantics fails, an alternative does not. Nevertheless I argue (...) that we have good reasons to adopt an information-sensitive semantics of the general type Kolodny and MacFarlane describe. Contrary to the standard semantics, relative deontic value between possibilities sometimes depends on which possibilities are live. I develop an ordering semantics for deontic modals that captures this point and addresses various complications introduced by integrating the discussion of information-sensitivity into the standard semantic framework. By attending to these complexities, we can also illuminate various roles that information and evidence play in logical arguments, discourse, and deliberation. (shrink)

The study aimed to identify the strategic sensitivity and its impact on enhancing the creative behavior of Palestinian NGOs in Gaza Strip, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations working in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals (298) questionnaires were retrieved, and the following results were reached: The relative weight of strategic (...) class='Hi'>sensitivity was 79.22 (%), and the relative weight of creative behavior was 78.99 (%), a statistically significant relationship between all strategic sensitivity and creative behavior, and the presence of a sensitivity effect The strategy’s strategy on creative behavior, there are statistically significant differences in the scale dimensions attributable to the gender variable and the differences were in favor of females, there are no statistically significant differences between the averages of strategic sensitivity due to the age variable, and the educational qualification, and there were no statistically significant differences in creative behavior according to The gender variable, age, educational qualification, specialization, and the study presented a set of recommendations, the most important of which are: the need for civil organizations in Gaza Strip to seek funding from external countries in order to provide self-income for associations to face crises and give them independence Mechanism in order to keep them to carry out their role in society, the need to follow up the strategic plan of civil organizations using e-mails as they pave the way to reach excellence and creativity in the field of work. (shrink)

Background Moral sensitivity and academic integrity discernment hold paramount importance for healthcare professionals. Owing to distinct undergraduate educational backgrounds, nurses and physicians may exhibit divergent moral perspectives, academic integrity cognisance, and moral sensitivity within clinical environments. A limited number of studies have investigated the disparities and congruencies pertaining to moral sensitivity and academic ethical awareness among nursing and medical students. Objective The study compares moral sensitivity and academic ethical awareness of undergraduate nursing and medical students with (...) and without clinical exposure. Research design A self-administered cross-sectional survey conducted from January to February 2022 was used to collect data from a medical school in Hong Kong. Participants and research context A total of 545 respondents, including 137 nursing students and 408 medical students, completed the questionnaire. Ethical consideration Ethics approval of the study was obtained. Written consent was waived to maintain anonymity because completing the questionnaire was considered implied consent. Findings Both groups of undergraduates demonstrated a high level of bioethics knowledge. In terms of academic integrity, medical students were found to have a less concerned attitude towards punctuality, attendance, and skipping classes. Regarding moral sensitivity, senior medical students with clinical experience put less emphasis on decision-making involving patient participation, while senior nursing students were more hesitant in withholding treatment for incompetent patients who refused treatment. Both nursing and medical students showed decreased moral sensitivity in the ‘conflicts’ domain with increased clinical exposure. Conclusion Study findings contribute to the discussion comparing the ethical attitudes of nursing and medical students. More effort should be made in nursing and medical education to promote practices in line with high academic integrity and to develop the ability to be morally sensitive in professional settings. (shrink)

A number of prominent epistemologists claim that the principle of sensitivity “play[s] a starring role in the solution to some important epistemological problems”. I argue that traditional sensitivity accounts fail to explain even the most basic data that are usually considered to constitute their primary motivation. To establish this result I develop Gettier and lottery cases involving necessary truths. Since beliefs in necessary truths are sensitive by default, the resulting cases give rise to a serious explanatory problem (...) for the defenders of sensitivity accounts. It is furthermore argued that attempts to modally strengthen traditional sensitivity accounts to avoid the problem must appeal to a notion of safety—the primary competitor of sensitivity in the literature. The paper concludes that the explanatory virtues of sensitivity accounts are largely illusory. In the framework of modal epistemology, it is safety rather than sensitivity that does the heavy explanatory lifting with respect to Gettier cases, lottery examples, and other pertinent cases. (shrink)

BackgroundIn order to achieve the goals of the healthcare system, nursing managers are required to comply with ethical principles in decision-making. In complex and challenging healthcare settings, it is shown that the managers’ mere awareness of ethics does not suffice and managers need to be sensitive toward making ethical decisions.AimTo explore nursing managers and their sensitivity toward ethical decision-making by analyzing their related experiences.MethodThe current study has been conducted in Iran in 2017 through a qualitative content analysis approach. Nineteen (...) nurse managers were selected purposefully from different hospitals in Tehran. Data were collected using semi-structured, in-depth, face-to-face interviews, and after transcription, they were analyzed according to the Graneheim and Lundman method.Ethical considerationsThe research was approved by the ethics committee of Tarbiat Modares University, Tehran, Iran. Participants were informed about the purpose of the study and submitted written informed consents regarding their participation. The principle of autonomy, confidentiality, and anonymity was taken into account in data collection.ResultsFifteen subcategories, three categories (assertiveness, commitment, and insight), and one theme of excellent decision-making were the results of data analysis.DiscussionFindings showed that nursing managers’ sensitivity to ethical decision-making allows them to make the best decision by insight, commitment, and assertiveness. Making a morally excellent decision ensures that ethical principles are followed in the healthcare system.ConclusionConsidering that most managers are committed to making ethical decisions, it is required to develop the scope of their insights even further using a professional management and ethical principles training program. Also, by addressing some of the ethical barriers at personal and organizational levels, the assertiveness in managers can be improved, which in turn can facilitate their ethical decision-making. (shrink)

It has been argued that neural data are an especially sensitive kind of personal information that could be used to undermine the control we should have over access to our mental states, and therefore need a stronger legal protection than other kinds of personal data. The Morningside Group, a global consortium of interdisciplinary experts advocating for the ethical use of neurotechnology, suggests achieving this by treating legally ND as a body organ. Although the proposal is currently shaping ND-related (...) policies, it is not clear what its conceptual and legal basis is. Treating legally something as something else requires some kind of analogical reasoning, which is not provided by the authors of the proposal. In this paper, I will try to fill this gap by addressing ontological issues related to neurocognitive processes. The substantial differences between ND and body organs or organic tissue cast doubt on the idea that the former should be covered by bodily integrity. Crucially, ND are not constituted by organic material. Nevertheless, I argue that the ND of a subject s are analogous to neurocognitive properties of her brain. I claim that s’ ND are a ‘medium independent’ property that can be characterized as natural semantic personal information about her brain and that s’ brain not only instantiates this property but also has an exclusive ontological relationship with it: This information constitutes a domain that is unique to her neurocognitive architecture. (shrink)

Sense and Sensitivity explores the semantics and pragmatics of focus in natural language discourse, advancing a new account of focus sensitivity which posits a three-way distinction between different effects of focus. Makes a valuable contribution to the ongoing research in the field of focus sensitivity Discusses the features of QFC, an original theory of focus implying a new typology of focus-sensitive expressions Presents novel cross-linguistic data on focus and focus sensitivity Concludes with a case study (...) of exclusives (like “only”), arguing that the entire existing literature (reviewed in detail) has missed crucial generalizations, and that the focus sensitivity of these expressions must be understood in terms of their meaning and discourse function. (shrink)

Background With an increasing older population, the pressure on home care resources is growing, which makes it important to ensure the maintenance of quality care. It is known that compassion and ethical sensitivity can improve the quality of care, but little is known about care leaders’ perceptions on ethical sensitivity and compassion in home care and how it is associated with staff competence and thus quality of care. Aim The aim of the study was to explore home care (...) leaders’ perceptions of ethical sensitivity and compassion associated with care quality in home care. Research design, participants, and research context A hermeneutical approach with a qualitative explorative design was used. The data consists of texts from 10 in-depth interviews with home care leaders. Content analysis was used as a method. Ethical considerations The study was conducted following the ethical guidelines of the Declaration of Helsinki and the Finnish Advisory Board of Research Ethics. Research ethics permission was applied for from a Research Ethics Board. Findings One overall theme and four subthemes were found. The overall theme was: “Compassion provides deeper meaning and ethical sensitivity provides means for knowing how to act”. Discussion If nurses fail to be sensitive and compassionate with patients, good and high qualitative home care cannot be achieved. Ethical sensitivity and compassion can be seen as resources in home care but the organization and the care leaders need to provide the support for these to develop. Conclusion This study provides an understanding of the meaning of ethical sensitivity and compassion as sources of strength and their link to quality of care in a home care context. Further studies could focus on how to build compassion and ethical sensitivity into home-based care and how to ensure adequate support for healthcare professionals’ compassion and ethical sensitivity. (shrink)

The emotion of disgust is suggested to be an adaptation that evolved to keep us away from sources of infection. Therefore, individuals from populations with greater pathogen stress should have a greater disgust sensitivity. However, current evidence for a positive relationship between disgust sensitivity and the intensity of infectious diseases in the environment is limited. We tested whether disgust and contamination sensitivity changed in response to the COVID-19 pandemic. Disgust was assessed in 984 women in 2017 and (...) 633 women in 2020 by a set of photographs depicting sources of infection and Pathogen and Moral of Three-Domain Disgust Scale. Further, contamination sensitivity among participants in two waves was measured by Contamination Obsessions and Washing Compulsions Subscale of Padua Inventory. State anxiety was measured with the Polish adaptation of the State-Trait Anxiety Inventory only during the second wave of data collection. Women from the COVID-19 pandemic group assessed the photographs depicting sources of infection as more disgusting, scoring higher on Padua Inventory, but lower on Moral Disgust Domain as compared to women from before the pandemic. In addition, anxiety levels during pandemic positively correlated with scores from Pathogen Disgust Domain, Padua Inventory, and the ratings of the photographs. The participants of the study scored higher in state anxiety than the norms determined for the Polish population. Summarizing, we present evidence for differences in individual levels of disgust sensitivity in relation to pathogen stress, supporting the idea that disgust evolved to serve as protection from pathogens. (shrink)

We critically engage two traditional views of scientific data and outline a novel philosophical view that we call the pragmatic-representational view of data. On the PR view, data are representations that are the product of a process of inquiry, and they should be evaluated in terms of their adequacy or fitness for particular purposes. Some important implications of the PR view for data assessment, related to misrepresentation, context-sensitivity, and complementary use, are highlighted. The PR view (...) provides insight into the common but little-discussed practices of iteratively reusing and repurposing data, which result in many datasets’ having a phylogeny—an origin and complex evolutionary history—that is relevant to their evaluation and future use. We relate these insights to the open-data and data-rescue movements, and highlight several future avenues of research that build on the PR view of data. (shrink)

Background and aim Ethical sensitivity of nurses often plays an important role in their occupational commitment and moral decision-making. In some working conditions, nurses are affected by ethical distress and fail to pursue correct ethical actions despite having knowledge and a tendency for moral practice. Therefore, the present study aimed to investigate the correlation between sensitivity and ethical distress in the nurses of patients with spinal cord injuries. Materials and methods This descriptive-analytical study was performed on 160 of (...) the nurses of patients with spinal cord injuries. The participants were selected through the purposive sampling method out of the nurses in Khatamolanbia and Sasan hospitals, Tehran, Iran. Data collection tools included the Moral Sensitivity Questionnaire by Han and Corley’s Moral Distress Scale. Data were analyzed by the independent t-test and Pearson correlation coefficient using the SPSS software version 19. Results The mean values of ethical sensitivity was 80.48 ± 14.45 and ethical distress among the subjects was 62.39 ± 3.54. Moreover, a significant negative correlation was observed between moral sensitivityand moral distress. Conclusion According to the results of this study, increased ethical sensitivity is associated with diminished moral distress among the nurses of patients with spinal cord injuries. On the other hand, moral sensitivity is of considerable importance in nurses, especially in taking care of patients with special conditions. Consequently, it is recommended to provide some conditions for maintaining and enhancing ethical sensitivity in nurses taking care of patients with spinal cord injuries. (shrink)

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of (...) the ethical implications of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

This study explores models of how people perceive moral aspects of socio‐scientific issues. Thirty college students participated in interviews during which they discussed their reactions to and resolutions of two genetic engineering issues. The interview data were analyzed qualitatively to produce an emergent taxonomy of moral concerns recognized by the participant. The participants expressed sensitivity to moral aspects including concern and empathy for the well‐being of others, an aversion to altering the natural order and slippery slope implications. In (...) arriving at their final resolutions, many participants integrated their moral concerns with non‐moral factors. The patterns revealed suggest that moral and non‐moral concerns act in concert as they influence socio‐scientific decision‐making. (shrink)

Knowledge ascriptions are contrast-sensitive. One natural explanation for this is that the knowledge relation is contrastive ( s knows that p rather than q ). But can the binary view of knowledge ( s knows that p ) explain contrast-sensitivity? I review some of the linguistic data supporting contrast-sensitivity, and critique the three main binary explanations for contrast-sensitivity. I conclude that the contrast-sensitivity of knowledge ascriptions shows that knowledge is a contrastive relation.

Background We aimed to examine the ethical concerns Singaporeans have about sharing health-data for precision medicine and identify suggestions for governance strategies. Just as Asian genomes are under-represented in PM, the views of Asian populations about the risks and benefits of data sharing are under-represented in prior attitudinal research. Methods We conducted seven focus groups with 62 participants in Singapore from May to July 2019. They were conducted in three languages and analysed with qualitative content and thematic analysis. (...) Results Four key themes emerged: nuanced understandings of data security and data sensitivity; trade-offs between data protection and research benefits; trust in the public and private sectors; and governance and control options. Participants were aware of the inherent risks associated with data sharing for research. Participants expressed conditional support for data sharing, including genomic sequence data and information contained within electronic medical records. This support included sharing data with researchers from universities and healthcare institutions, both in Singapore and overseas. Support was conditional on the perceived social value of the research and appropriate de-identification and data security processes. Participants suggested that a data sharing oversight body would help strengthen public trust and comfort in data research for PM in Singapore. Conclusion Maintenance of public trust in data security systems and governance regimes can enhance participation in PM and data sharing for research. Contrary to themes in much prior research, participants demonstrated a sophisticated understanding of the inherent risks of data sharing, analysed trade-offs between risks and potential benefits of PM, and often adopted an international perspective. (shrink)

This chapter contains sections titled: References and Further Reading.

This article develops a typology of usages for empirical data in normative theorizing in ‎contemporary political theory. A typology of usages is indicated, providing definitions, ‘names’ and an analysis for each ‎usage, and points to the typical stage within political theory research for each usage. The typology is built in a casuistic methodology. It includes the following categories: Spotlighting, Definition, ‎‎ Conversion, Institutional clarity, Theoretical clarity, and Theory improvement. The typology creates a novel toolbox that can be adopted by (...) political theorists; and it clarifies the methods and achievements of data-sensitive political theory. (shrink)

In social science research, survey respondents hesitate to answer sensitive questions. This explains why traditional self-report surveys often suffer from high levels of non-response and dishonest answers. To overcome these problems, an adjusted questioning technique is necessary. This article examines one such adjusted questioning technique: the randomized response technique. However, in order to obtain reliable and valid data, respondents need to understand and trust this technique. Respondents' understanding and trust are assessed in two online variants of the randomized response (...) technique: (a) forced response and (b) unrelated question. Results show that understanding was significantly higher in the forced-response condition. Respondents' trust, however, was low in both conditions. (shrink)

Background: High ethical sensitivity positively affects the quality of nursing care; nevertheless, Chinese nurses’ ethical sensitivity and the factors influencing it have not been described. Research objectives: The purpose of this study was to describe ethical sensitivity and to explore factors influencing it among Chinese-registered nurses, to help nursing administrators improve nurses’ ethical sensitivity, build harmony between nurses and patients, and promote the patients’ health. Research design: This was a descriptive, cross-sectional study. Participants and research context: (...) We recruited 500 nurses from several departments in three tertiary hospitals. The Chinese Moral Sensitivity Questionnaire–Revised version and the Jefferson Scale of Empathy-Health Professionals were used to assess the nurses’ ethical sensitivity and empathy ability, respectively. Fifteen sociodemographic variables were included in the questionnaires. Ethical considerations: Informed consent was obtained from the participants regarding participation and data storage and handling. This program has been examined and supported by the research center of medical ethics and professional ethics of Guilin Medical University. The Approval No. was 2016RWYB04. The whole research process is conducted strictly according to ethical requirements. Results: The valid response rate was 84.40%. The total score of Chinese Moral Sensitivity Questionnaire–Revised was 35.82 ± 8.17. The subscale scores of moral responsibility and strength and sense of moral burden were 21.50 ± 4.91 and 14.33 ± 3.98, respectively. Significant differences were found among age groups, gender, years of working, category of profession, and quality of family communication regarding nurses’ ethical sensitivity. Regression analysis showed that the main factors influencing nurses’ ethical sensitivity were gender, years of working, quality of family communication, career satisfaction, and empathic ability. Discussion: Our findings suggest that Chinese nurses’ ethical sensitivity in tertiary hospitals in Guilin is at a medium level. Conclusion: The director of nursing schools and hospitals in China should pay attention to nurses’ ethical sensitivity and should intensify education and training to improve nurses’ ethical sensitivity. Further studies should focus on interventions aimed at improving Chinese nurses’ ethical sensitivity. (shrink)

Background:Rising levels of burnout and decreasing job satisfaction can inhibit healthcare professionals from providing high-quality care due to a corresponding decrease in their ethical sensitivity.Aim:This study aimed to determine the relationship between the level of ethical sensitivity in emergency service nurses and their levels of burnout and job satisfaction.Research design:This research employed a descriptive and cross-sectional design.Participants and research context:This study was conducted with a sample of 236 nurses, all of whom worked in emergency service between 24 July (...) 2015 and 28 April 2016. Data were collected using the Moral Sensitivity Questionnaire, Maslach Burnout Inventory, and Minnesota Job Satisfaction Scale.Ethical considerations:This study was approved by the Institutional Ethics Review Board of Ondokuz Mayıs University.Findings:There was a weak and negative correlation between Moral Sensitivity Questionnaire and Maslach Burnout Inventory scores. There was also a weak and negative correlation between the Maslach Burnout Inventory and Minnesota Job Satisfaction Scale scores.Discussion and conclusion:Decreased job satisfaction and increased burnout levels among emergency service nurses might result in them indulging in improper practices, frequently facing ethical problems, and a decrease in the overall quality of service in hospitals. In order for emergency service nurses to recognize ethical problems and make the most accurate decisions, a high level of ethical sensitivity is critical. In this respect, it is suggested that continuing education after graduation and training programs should be organized. (shrink)

Intensified and extensive data production and data storage are characteristics of contemporary western societies. Health data sharing is increasing with the growth of Information and Communication Technology platforms devoted to the collection of personal health and genomic data. However, the sensitive and personal nature of health data poses ethical challenges when data is disclosed and shared even if for scientific research purposes. With this in mind, the Science and Values Working Group of the COST (...) Action CHIP ME ‘Citizen's Health through public-private Initiatives: Public health, Market and Ethical perspectives’ identified six core values they considered to be essential for the ethical sharing of health data using ICT platforms. We believe that using this ethical framework will promote respectful scientific practices in order to maintain individuals’ trust in research. We use these values to analyse five ICT platforms and explore how emerging data sharing platforms are reconfiguring the data sharing experience from a range of perspectives. We discuss which types of values, rights and responsibilities they entail and enshrine within their philosophy or outlook on what it means to share personal health information. Through this discussion we address issues of the design and the development process of personal health data and patient-oriented infrastructures, as well as new forms of technologically-mediated empowerment. (shrink)

Residual confounding is a common source of bias in observational studies. In this article, we build upon a series of sensitivity analyses methods for residual confounding developed by Brumback et al. and Chiba whose sensitivity parameters are constructed to quantify deviation from conditional exchangeability, given measured confounders. These sensitivity parameters are combined with the observed data to produce a “bias-corrected” estimate of the causal effect of interest. We provide important generalizations of these sensitivity analyses, by (...) allowing for arbitrary exposures and a wide range of different causal effect measures, through the specification of the target causal effect as a parameter in a generalized linear model with the arbitrary link function. We show how our generalized sensitivity analysis can be easily implemented with standard software, and how its sensitivity parameters can be calibrated against measured confounders. We demonstrate our sensitivity analysis with an application to publicly available data from a cohort study of behavior patterns and coronary heart disease. (shrink)

Background:In research on co-creation in nursing, a caring manner can be used to create opportunities whereby the patient’s quality of life can be increased in palliative home care. This can be described as an ethical cornerstone and the goal of palliative care. To promote quality of life, nurses must be sensitive to patients’ and their relatives’ needs in care encounters. Co-creation can be defined as the joint creation of vital goals for patients through the process of shared knowledge between nurses, (...) patients and their relatives.Aim:The aim of this study was to explore nurses’ experiences of caring encounters and co-creation in palliative home care from an ethical perspective.Research design, participants, and research context:A hermeneutical approach was used. The material consisted of texts from interviews with 12 nurses in a home care context. The method was inspired by thematic analysis.Ethical considerations:Informed consent was sought from the participants regarding study participation and the storage and handling of data for research purposes.Findings:An overall theme, a main theme and four sub-themes emerged. Through ethical sensitivity and perceptivity, nurses can balance their actions in the moment and change their nursing care actions according to the patient’s wishes through co-creation in encounters. Here the time is crucial, as the time needed is unique to each patient.Discussion:The themes together can be considered prerequisites for good palliative home care. If nurses fail to be sensitive and perceptive in encounters with dying patients, good palliative home care cannot be achieved. Ethical sensitivity and perceptiveness can also be considered a part of nurses’ ethical competence.Conclusion:Patients’ dignity can be preserved through ethical sensitivity and perceptiveness, which is fundamental for good palliative care. Co-creation from patients’ perspectives should be the focus of future research. (shrink)

Increased technological and pharmacological interventions in patient care when patient outcomes are uncertain have been linked to the escalation in moral and ethical dilemmas experienced by health care providers in acute care settings. Health care research has shown that facilities that are able to attract and retain nursing staff in a competitive environment and provide high quality care have the capacity for nurses to process and resolve moral and ethical dilemmas. This article reports on the findings of a systematic review (...) of the empirical literature (1980 — February 2007) on the effects of unresolved moral distress and poor ethical climate on nurse turnover. Articles were sought to answer the review question: Does unresolved moral distress and a poor organizational ethical climate increase nurse turnover? Nine articles met the criteria of the review process. Although the prevailing sentiment was that poor ethical climate and moral distress caused staff turnover, definitive answers to the review question remain elusive because there are limited data that confidently support this statement. (shrink)

Does what you know depend on what is at stake for you? That is, is the knowledge relation sensitive to the subject’s practical interests? Subject sensitive invariantists (Fantl and McGrath, 2002; Hawthorne, 2004, ch. 4; Stanley, forthcoming) say that the answer is yes. They claim to capture the contextualist data without the shifty semantics. I will argue that the answer is no. The knowledge relation is sensitive to what is in question for the attributor, rather than what is at (...) stake for the subject. There is no substitute for the contextualist semantics. (shrink)

The present research examined the connections between temperament, students’ domain- and course-specific motivational appraisals, and performance, in two studies. Study 1 explored the relationships between temperamental sensitivities, motivational appraisals, and task achievement among secondary students in the domain of mathematics, using Exploratory Structural Equation Modeling for the analyses. Study 2 was conducted longitudinally among upper-secondary students during a course in four key school subjects. Subject interest was included alongside the temperamental sensitivities as a predictor of course-specific motivation and course grades, (...) and the data were analysed with Partial Least Squares Structural Equation Modeling. Previous achievement was controlled in both studies. The findings showed temperamental sensitivities to be differentially linked with motivational appraisals. Punishment sensitivity in Study 1, and interindividual reward sensitivity in Study 2 were found to have an effect on psychological strain. In both studies, interest and effort were predicted by intraindividual reward sensitivity. In Study 2, subject interest was a consistent predictor of higher course interest and lower strain. In both studies, connections were found between strain and lower performance. The findings suggest individual characteristics may predispose students to certain motivational experiences, and contribute to educational outcomes, in both domain and course contexts and across subject content. (shrink)

Jason Stanley has argued recently that Epistemic Contextualism (EC) and Subject‐Sensitive Invariantism (SSI) are explanatorily on a par with regard to certain data arising from modal and temporal embeddings of ‘knowledge’‐ascriptions. This paper argues against Stanley that EC has a clear advantage over SSI in the discussed field and introduces a new type of linguistic datum strongly suggesting the falsity of SSI.

Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL (...) framework allows making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts. (shrink)

Decision-making regarding healthcare expenditure hinges heavily on an individual's health status and the certainty about the future. This study uses data on propensity of general health exam (GHE) spending to show that despite the debate on the necessity of GHE, its objective is clear—to obtain more information and certainty about one’s health so as to minimise future risks. Most studies on this topic, however, focus only on factors associated with GHE uptake and overlook the shifts in behaviours and attitudes (...) regarding different levels of cost. To fill the gap, this study analyses a dataset of 2068 subjects collected from Hanoi (Vietnam) and its vicinities using the baseline-category logit method. We evaluate the sensitivity of Vietnamese healthcare consumers against two groups of factors (demographic and socioeconomic-cognitive) regarding payment for periodic GHE, which is not covered by insurance. Our study shows that uninsured, married and employed individuals are less sensitive to cost than their counterparts because they value the information in reducing future health uncertainty. The empirical results challenge the objections to periodic health screening by highlighting its utility. The relevance of behavioural economics is further highlighted through a look at the bounded rationality of healthcare consumers and private insurance companies in using and providing the service, respectively. (shrink)

This study was carried out to determine the ethical sensitivity levels of students enrolled in the nursing faculty. The sample of the descriptive study consisted of 594 students who were taught at the Faculty of Nursing in February - May 2018 and agreed to participate in the study. The data were collected by Personal Information Form prepared by researchers to evaluate the demographic characteristics of students and The Modified Moral Sensitivity Questionnaire for Student Nurses. The data (...) obtained from the application were analyzed using SPSS for Windows 23.0 program. The majority of the students (75.9%) participating in the study were women and 74.9% stated that they internalized the profession. The total score average of The Modified Moral Sensitivity Questionnaire for Student Nurses is 4.93 ± 0.49. While the lowest average score in all classes is “Experiencing Ethical Dilemma” sub-dimension, the highest average score is in the “Interpersonal Orientation” sub-dimension. It is the 3 rd year student with the highest average score received from the scale. It was determined that the ethical sensitivity of the nursing students was medium and there was a significant difference between the ethical sensitivity levels of the students between the classes. It is thought that ensuring the continuity of the ethical education of the nursing students will be effective in increasing the awareness of the students on the subject. For this reason, it is recommended to integrate ethical issues in all courses in the structuring of nursing education curriculum programs. (shrink)

We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. This paper addresses the issues of learning structured knowledge from a large-scale natural language data set, and of generalization to unseen text. The implemented algorithm represents sentences as paths on a graph whose vertices are words. Significant patterns, determined by recursive context-sensitive statistical inference, form new vertices. Linguistic constructions are represented by trees composed of significant patterns (...) and their associated equivalence classes. An input module allows the algorithm to be subjected to a standard test of English as a Second Language profi- ciency. The results are encouraging: the model attains a level of performance considered to be “intermediate” for 9th-grade students, despite having been trained on a corpus containing transcribed speech of parents directed to small children. (shrink)

In this paper, I report new empirical data on folk semantic intuitions concerning color adjectives in so-called context-shifting experiments. Contextualists present such experiments — that is, they describe different conversational contexts in which a given sentence is uttered — in order to argue that context can shape meaning and truth conditions to such a degree that competent speakers would give opposite truth evaluations of the same sentence in different contexts. The initial findings of Hansen and Chemla (2013) suggest that (...) laypersons’ semantic judgments are sensitive to context in the same way that is predicted by contextualists. In this paper, I focus on context-shifting experiments that involve color adjectives; also, I present experiments that are a partial replication and methodological extension of Hansen and Chemla’s study. One aim of my study was to corroborate these authors’ findings using a bigger sample (total N = 1128), but the main goal was to test the stability of results in different methodological variants of empirical adaptations of context-shifting experiments. This part of the study addresses the issues pointed out in my earlier paper (Ziółkowski 2017), where I argued that certain experimental settings (within-subjects) might bring data that is more favorable to contextualism than other settings (between-subjects). My study compares three different experimental settings: within-subjects (with randomized order of context presentation), between-subjects (where participants evaluating different contexts aredistinct groups), and “contrastive design” (where both contexts are presented side by side on the same screen). My results are highly consistent across the methodological variants I employed, but while they show some of the effects expected by contextualists, it is disputable whether they bring strong support to contextualism with respect to color adjectives. (shrink)

Qualitative fieldwork research on sensitive topics sometimes requires that interviewees be granted confidentiality and anonymity. When qualitative researchers later publish their findings, they must ensure that any statements obtained during fieldwork interviews cannot be traced back to the interviewees. Given these protections to interviewees, the integrity of the published findings cannot usually be verified or replicated by third parties, and the scholarly community must trust the word of qualitative researchers when they publish their results. This trust is fundamentally abused, however, (...) when researchers publish articles reporting qualitative fieldwork data that they never collected. Using only publicly available information, I argue that a 2017 article in an Elsevier foreign policy and international relations journal presents anonymised fieldwork interviews that could not have occurred as described. As an exercise in post-publication peer review (PPPR), this paper examines the evidence that calls into question the reliability of the putative fieldwork quotations. I show further that the 2017 article is not a unique case. The anonymity and confidentiality protections common in some areas of research create an ethical problem: the protections necessary for obtaining research data can be used as a cover to hide substandard research practices as well as research misconduct. (shrink)