A significant theory of corporate social responsibility is the Stakeholder Model. Within this model, entities make decisions that impact all stakeholders. Occasionally, the decision that is made ultimately impacts one stakeholder differently than another. Negative data by its very definition is seen as problematic for any organization as it pertains to its stakeholders. When confronted with the data or the potential of the data being negative to desired outcomes or directions of programs, an organization’s leadership (...) may be faced with an ethical conundrum. Should the data be included and shown to all stakeholders? Or should the data be buried and avoided even to the point of engaging in questionable conduct in the management of paperwork and record keeping? (shrink)

Within a one-dimensional spatial framework, we deduce that partiesto go negative’, by blaming alleged insufficiencies of the rival concerning commonly shared values, increase with their ideological proximity. We test our hypothesis by considering the long period of no-cabinet alternation that characterized both Italy and Japan. In particular, we focus on the (spatial) incentives of the Italian Communist Party and of the Japanese Socialist Party to emphasize on a particular topic related to negative campaigning, i.e. political corruption issues. The (...) status of the perennial opposition held by both parties, together with the existence of several political corruption scandals during the period considered, makes the Italian and the Japanese political systems particularly apt to test our hypothesis. The results, based on data derived from electoral programs, support our theoretical insights. (shrink)

This paper investigates Negative Concord, arguing that it results from a systematic lexical ambiguity: the items that participate in Negative Concord ("n-words" in Laka's 1990 terminology) are ambiguous between negative polarity items and their genuinely negative counterparts. I try to show that on empirical grounds the proposed account compares favorably with other analyses that shy away from ambiguity. I furthermore suggest that the ambiguity is not implausible conceptually because it can be viewed as reflecting an intermediate (...) stage of the Jespersen Cycle. Negative Concord can be observed in many languages. The data discussed here are taken from Romance, primarily Spanish. (shrink)

This paper is about the phenomenon known as Neg-Raising. All previous analyses of Neg-Raising fall into one of two categories: syntactic and semantic/pragmatic. The syntactic approach derives the unexpected interpretation of Neg-Raising expressions from a Neg movement operation in the syntax while the semantic/pragmatic approach derives it as an inference attributed to an excluded middle associated with Neg-Raising predicates. In this squib, I discuss a collection of novel and known data, which I argue indicate that both a Neg movement (...) operation as well as an excluded middle are necessary to account for the full range of data. I propose that Neg-Raising is an intrinsically semantic/pragmatic phenomenon and that the Neg movement operation is conditioned by the presence of an excluded middle. I offer a generalization that takes a step towards understanding this mysterious dependency. (shrink)

PURPOSE—A substantial fraction of the observations made by clinicians and entered into patient records are expressed by means of negation or by using terms which contain negative qualifiers (as in “absence of pulse” or “surgical procedure not performed”). This seems at first sight to present problems for ontologies, terminologies and data repositories that adhere to a realist view and thus reject any reference to putative non-existing entities. Basic Formal Ontology (BFO) and Referent Tracking (RT) are examples of such (...) paradigms. The purpose of the research here described was to test a proposal to capture negative findings in electronic health record systems based on BFO and RT. METHODS—We analysed a series of negative findings encountered in 748 sentences taken from 41 patient charts. We classified the phenomena described in terms of the various top-level categories and relations defined in BFO, taking into account the role of negation in the corresponding descriptions. We also studied terms from SNOMED-CT containing one or other form of negation. We then explored ways to represent the described phenomena by means of the types of representational units available to realist ontologies such as BFO. RESULTS—We introduced a new family of ‘lacks’ relations into the OBO Relation Ontology. The relation lacks_part, for example, defined in terms of the positive relation part_of, holds between a particular p and a universal U when p has no instance of U as part. Since p and U both exist, assertions involving ‘lacks_part’ and its cognates meet the requirements of positivity. CONCLUSION—By expanding the OBO Relation Ontology, we were able to accommodate nearly all occurrences of negative findings in the sample studied. (shrink)

Nguyen argues that only his radically pragmatic account and Sterken’s indexical account can capture what we call the positive data. We present some new data, which we call the negative data, and argue that no theory of generics on the market is compatible with both the positive data and the negative data. We develop a novel version of the indexical account and show that it captures both the positive data and the (...) class='Hi'>negative data. In particular, we argue that there is a semantic constraint that, in any context, the semantic value of GEN is upward monotone and non-symmetric. On the other hand, the pragmatic account has difficulty accommodating the negative data. This is because no pragmatic principles have been developed that can explain the negative data. In the paper, we focus on only the pragmatic account and the indexical account, but our discussion has broad implications for the debate on generics: any empirically adequate accounts of generics must be flexible enough to accommodate the positive data and yet constrained enough to accommodate the negative data. (shrink)

In recent decades, the prevalence of negative communication has intensified across the world. In this article, we seek to understand the mechanisms that spread negativity about a unified Europe. We study the specific conditions under which negative party communication boosts media visibility, focusing on the role of country-specific party conflicts on European Union integration. Our analysis is based on content analysis data of parties’ press releases and media coverage in the 12 weeks preceding the 2014 European Parliamentary (...) elections in seven countries. We find that EU-negative party communication by and large does not matter for party visibility in the media, though the results provide scant evidence that cross-national differences relate to a country’s party conflict. (shrink)

Research indicates that positive relationships with fellow church members are associated with better mental health. However, far less research has focused on the relationship between negative interaction with fellow church members and mental health outcomes. The purpose of this study is to examine the relationship between church-based negative interaction and depressive symptoms with data from a nationwide sample of older Mexican Americans. Statistically significant findings were found for the following core relationships in our study model: older Mexican (...) Americans who encounter negative interaction with fellow church members experience more doubts about their faith; older Mexican Americans who experience more doubts about their faith are more likely to expect transgressors to perform acts of contrition ; and older Mexican Americans who require transgressors to perform acts of contrition are more likely to experience symptoms of depression. Subsequent empirical analyses provide support for each of these relationships. (shrink)

Federated Australia was seen for a long time as a significant social ‘laboratory’. The Commonwealth itself was seen as an ‘experiment’. This widespread metaphor relied on a particular pattern of perception: the country was ‘new’ (it was not), and the country was allegedly isolated (it was not, at least not completely). Many believed that its social environment could be controlled, like that of a scientific laboratory. A laboratory is designed to shut all disturbances out – the value of the (...) class='Hi'>data and experiments depends on it. This article outlines this metaphor in the context of Australian history during the 20th century, its rhetorical power and what made it discursively possible. (shrink)

In this paper, I defend fictional creationism, the view that fictional objects are abstract artifacts, from the objection that the apparent truth of fictional negative existentials, such as “Sherlock Holmes does not exist,” poses a serious problem for creationism. I develop a sophisticated version of the pragmatic approach by focusing on the inconsistent referential intentions of ordinary speakers: the upshot would be that creationism is no worse —perhaps even in a better position— than anti-realism, even if we restrict our (...) linguistic data to fictional negative existentials. (shrink)

Objective: The aim of the study was to identify clinical variables associated with changes in specific domains of self-reported depression during treatment by antidepressant and/or repetitive Transcranial Magnetic Stimulation in patients with Major Depressive Disorder.Methods: Data from a trial involving 170 patients with MDD receiving either venlafaxine, rTMS or both were re-analyzed. Depressive symptoms were assessed each week during the 2 to 6 weeks of treatment with the 13-item Beck Depression Inventory. Associations between depression changes on BDI13 domains, treatment (...) arm, time, and clinical variables were tested in a mixed linear model.Results: A significant decrease of self-reported depressive symptoms was observed over time. The main characteristics associated with persistent higher depressive symptomatology on Negative Self-Reference domain of the BDI13 were personality disorders, a past history of suicide attempt, age under 65 years old, and female sex.Conclusions: Early cognitive intervention targeting specifically negative self-referencing process could be considered during pharmacological or rTMS treatment for patients with personality disorders and past history of suicide attempt. (shrink)

Linear regression and its variants have been widely used for classification problems. However, they usually predefine a strict binary label matrix which has no freedom to fit the samples. In addition, they cannot deal with complex real-world applications such as the case of face recognition where samples may not be linearly separable owing to varying poses, expressions, and illumination conditions. Therefore, in this paper, we propose the kernel negative ε dragging linear regression method for robust classification on noised and (...) nonlinear data. First, a technique called negative ε dragging is introduced for relaxing class labels and is integrated into the LR model for classification to properly treat the class margin of conventional linear regressions for obtaining robust result. Then, the data is implicitly mapped into a high dimensional kernel space by using the nonlinear mapping determined by a kernel function to make the data more linearly separable. Finally, our obtained KNDLR method is able to partially alleviate the problem of overfitting and can perform classification well for noised and deformable data. Experimental results show that the KNDLR classification algorithm obtains greater generalization performance and leads to better robust classification decision. (shrink)

The aim of the present study was to conduct an analysis of TIMSS (Trends in International Mathematics and Science Study) 2003 database and to determine how negative school factors, such as aggression, are associated to the mathematical and science achievement of students. The analyses were conducted separately for national and international data. National analyses for Slovenia show significant associations between math and science achievement and the experience of aggressive behaviour. Students who experienced aggressive behaviour scored lower in math (...) and science, both in the fourth and in the eighth grade. The results of the regression analysis show that negative factors, such as aggressive behaviour, are good predictors of educational achievement in Slovenia. International analyses for the selected countries (high? and low?achieving countries from the whole TIMSS population) confirm that this type of finding is culturally impartial as well as valid for the level of achievement both in math and in science. (shrink)

Priming effects have been used widely as a tool to study attentional processes. However, inferences regarding attention depend on how priming effects are interpreted. In the case of negative priming, an activation-based framework for interpreting priming suggests that attention inhibits the representation of prime distractors and that this inhibition is measured in performance to subsequent probes. Data summarized in this article point out that negative priming does not depend on selection of one of two primes and that (...) attentional influences during retrieval play an important role in determining negative priming. Also, two experiments are described that demonstrate a correlation between priming effects and knowledge of the relation between primes and probes. We suggest that negative priming is not determined directly by a process of ignoring, but instead occurs because a repeated probe is less temporally distinct when ignored as a prime than when attended. (shrink)

The study investigates how speakers use ‘nai-expressions’ nai as in shabere-nai ‘cannot speak’ and ik-anai ‘will/do not go’) in naturally occurring conversation. The data demonstrate that although negative utterances have been considered to be ‘grammatical’ constructions that simply negate the truth value of a proposition, nai-expressions show formulaic tendencies and serve not only to express a speaker’s emotional personal stance on a particular story/event but also to create interpersonal space with other conversation participant and to involve them in (...) the story/event. The patterns which emerged from the data are quite similar to those in Ono and Thompson’s study on Japanese adjectives. As they pointed out, some of nai-expressions in the data may also be re-analyzed as adjectives. (shrink)

Like many languages, Korean has a special form of negation that is used in imperative clauses (see (1)c), to the exclusion of the usual clausal negation in (1)b: (1) a. ka-la b. *ka-ci anh-ala c. ka-ci mal-ala go-Imp go-Comp Neg-Imp go-Comp Neg-Imp ‘Don’t go!’ ‘Don’t go!’ ‘Go!’ Sadock and Zwicky (1985) noted that negation in imperative(-like) clauses shows special morpho-syntax in many languages, a fact documented in more detail by Zanuttini (1997) or Han (2000). In this paper I will consider (...) the semantic properties of Korean clauses that use the negative form mal-, and suggest a more indirect relationship to the morpho-syntax than has been assumed in previous work.∗ In section 2 I present the basic account of clausal semantics in the HPSG framework of Ginzburg and Sag (2000), and then in section 3 I return to a fuller consideration of data like that in (1). (shrink)

This paper provides a new account of positive versus negative antonyms. The data includes well-known linguistic generalizations regarding negative adjectives, such as their incompatibility with measure phrases (cf. two meters tall/ *short) and ratio phrases (twice as tall/ #short) as well as the impossibility of truly crosspolar comparisons (*Dan is taller than Sam is short). These generalizations admit a variety of exceptions, e.g., positive adjectives that do not license measure phrases (cf. #two degrees warm/cold) and rarely also (...) negative adjectives that do (cf. two hours late/early). Furthermore, new corpus data is presented regarding the use of twice with positive and negative adjectives. The analysis the paper presents supposes that grammar associates gradable adjectives with measure functions—mapping of entities to a set of degrees isomorphic to the real numbers (Kennedy, Projecting the adjective: The syntax and semantics of gradability and comparison, 1999). On this analysis, negative adjectives map entities to values that are linearly reversed and linearly transformed in comparison with their values in the positive antonyms. As shown, the generalizations, as well as their exceptions, directly follow. Negative polarity is explained in terms of function reversal, and non-licensing of measure phrases is explained in terms of transformation by an unspecified value. (shrink)

The purpose of this study was to examine the moderating roles of hostile attribution bias and negative reciprocity beliefs in the relationship between workplace incivility, as perceived by employees, and their interpersonal deviance. Data were collected using a three-wave survey research design. Participants included 233 employees from a large manufacturing company in China. Hierarchical regression analyses were used to test the hypothesized relationships. Our study revealed that hostile attribution bias and negative reciprocity beliefs strengthened the positive relationship (...) between workplace incivility and interpersonal deviance. This relationship was the most positive when both hostile attribution bias and negative reciprocity beliefs were high. The findings provided evidence that directing employees to depress hostile attribution bias and negative reciprocity beliefs may attenuate the effects of workplace incivility on interpersonal deviance. Implications for theory, research, and management practice are discussed. (shrink)

There have been a variety of arguments over the decades both for and against syntactic Neg Raising. Two recent papers :559–576, 2018; Crowley in Nat Lang Semant 27, 1–17, 2019) focus on the interaction of NR effects with ellipsis. These papers examine similar types of data, but come to opposite conclusion: Jacobson shows that the ellipsis facts provide evidence against syntactic NR, whereas Crowley argues in favor of syntactic NR. The present paper revisits the evidence, showing that the key (...) case in Crowley that he uses to argue for syntactic NR contains a confound, while the broader set of evidence in Jacobson continues to support the non-syntactic account. In addition, I reply here to an argument for syntactic NR due originally to Prince and Smaby and elaborated on by Crowley. The key generalization can be shown to disappear once contexts are carefully controlled for. Moreover, Crowley extends the Prince/Smaby argument to show that no inference-based account of NR can survive, but this conclusion rests on the claim that there are cases where ever is vacuous; I show that this is not the case. I also consider the question—discussed in much previous literature—of why under the syntactic approach to NR the class of predicates allowing NR is limited to just those which easily support an Excluded Middle inference. Crowley attempts to provide a principled explanation, speculating that NR is allowed just in case it is ‘semantically vacuous’. I argue that this proposal is problematic and so the challenge to syntactic approaches remains. Finally, I provide a new argument against syntactic NR which centers on the behavior of guess. (shrink)

Mass data surveillance practices have received heightened attention in international law since the Snowden revelations of 2013. In this article, I examine whether that attention has given rise to a “Grotian moment” regarding the regulation of these activities under international law. At the outset, I answer that question in the negative and conclude that no general customary international law rules have emerged. Yet, that is not the end of the story. At a more fundamental and conceptual level, far (...) reaching transformative process are underway in international law within the context of datafication. These concern new forms of power and/or control over data flows, and data surveillance practices are an inherent feature of that power. I contend that although there is no accelerated process of customary international law formation regarding data surveillance activities, it may be that a prolonged, epochal, Grotian moment is taking place. To that end, I argue that data surveillance must be understood as one manifestation of a broader constellation of shifts, through which ‘developments that profoundly impact the logic of territory or/and the “logic of capital” without signalling the arrival of a new international order’ are arguably in the making. (shrink)

The COVID-19 pandemic has caused a global crisis that particularly hit employment globally. Due to the economic crisis, many small businesses attempted to minimise their expenses by either closing or downsizing. During such organisational situations, the employees face negative workplace attitudes that lead to knowledge hiding and affect team performance. This study examines negative attitudes and their effect on team performance. Further, this study examines the mediating effect of knowledge hiding and moderating the role of servant leadership. Through (...) a multi-time data collection approach, the authors obtained 363 responses from the education sector in China during the COVID-19 pandemic. PROCESS Hayes model 1 and 4 were used for mediation and moderation analysis. Results show that job insecurity, cynicism, and role stress are significant forces behind knowledge-hiding behaviour. Furthermore, the knowledge hiding behaviour adversely affects task performance. Servant leadership shows a buffering effect on knowledge hiding behaviour caused by negative workplace attitudes. This is one of the first studies in the South Asian environment to examine the association between employees’ negative attitudes and task performance using knowledge hiding as a mediator and servant leadership as a moderator in the COVID-19 scenario. Lastly, the paper concludes with a consideration of its theoretical, practical implication and future direction. (shrink)

BIG DATA AND ARTIFICIAL INTELLIGENCE: A LOOK INTO THE FUTURE To say or write something innovative on the ongoing revolution in the fields of Big Data and Artificial Intelligence is very difficult. The advent of these two new technologies is in fact among the most relevant events in human history since in a little more than a decade it will likely lead to the creation of the First Artificial Intelligence of the Fourth level: i.e capable to think and (...) create autonomously. This is a strong statement but like it or not is also irrefutable and fully compatible with the current technological trends and with what is happening right now, in front of our eyes. For the time being, however, we are dealing just with a weak Artificial Intelligence deeply rooted in Big Data and Big Data Analytics. Even so, however, the epochal changes which are currently taking place in the social, economic, and political structure of our world, have no historical equivalent. In this essay, after a short introduction (for the nonprofessional) of Machine Learning and of the basics of the weak Artificial Intelligence, I will try to explain why Artificial Intelligence and Big Data inextricably connect to each other. I will also try to summarise some among the many positive and negative aspects of the problem. (shrink)

Emotion is closely associated with language, but we know very little about how children express emotion in their own writing. We used a large‐scale, cross‐sectional, and data‐driven approach to investigate emotional expression via writing in children of different ages, and whether it varies for boys and girls. We first used a lexicon‐based bag‐of‐words approach to identify emotional content in a large corpus of stories (N>100,000) written by 7‐ to 13‐year‐old children. Generalized Additive Models were then used to model changes (...) in sentiment across age and gender. Two other machine learning approaches (BERT and TextBlob) validated and extended these analyses, converging on the finding that positive sentiments in children's writing decrease with age. These findings echo reports from previous studies showing a decrease in mood and an increased use of negative emotion words with age. We also found that stories by girls contained more positive sentiments than stories by boys. Our study shows the utility of large‐scale data‐driven approaches to reveal the content and nature of children's writing. Future experimental work should build on these observations to understand the likely complex relationships between written language and emotion, and how these change over development. (shrink)

Existing research on the financial implications of corporate social responsibility (CSR) for firms has predominantly focused on positive aspects of CSR, overlooking that firms also undertake actions and initiatives that qualify as negative CSR. Moreover, studies in this area have not investigated how both positive and negative CSR affect the financial risk of firms. As such, in this research, the authors provide a framework linking both positive and negative CSR to idiosyncratic risk of firms. While investigating these (...) relationships, the authors also analyze the moderating role of financial leverage of firms. Overall, analysis of secondary information for firms from multiple industries over the years 2000–2009 shows that CSR has a significant effect on the idiosyncratic risk of firms, with positive CSR reducing risk and negative CSR increasing it. Results also show that the reduction in risk from positive CSR is not guaranteed, with firms having high levels of financial leverage witnessing lower idiosyncratic risk reduction. (shrink)

This study aims to analyze what drives and prevents the purchasing of eco-friendly products across different consumer groups and develops a conceptual model embracing the positive altruistic, positive ego-centric, and negative ego-centric antecedents of eco-friendly product purchase intention and behavior. We empirically validate the conceptual model for green and non-green consumers. Data are analyzed using structural equation modeling and multi-group analysis of the two groups. The results confirm the relevance of the determining factors in the model and show (...) significant differences in eco-friendly product purchasing patterns between green and non-green consumers. Altruistic motives are more important for green than for non-green consumers. Negative ego-centric motives affect the purchase intentions of non-green consumers more than the intentions of green consumers, whereas the impact of negative motives on behavior is stronger for green than for non-green consumers. The first contribution of this paper is the development and testing of a parsimonious model of eco-friendly products purchasing that embraces both positive and negative antecedents, which have been theoretically suggested in the past but have rarely been empirically tested together. The second contribution of this study is that it develops insight into the specific antecedents of eco-friendly products purchasing for green and non-green consumers to assess potential similarities and differences in eco-friendly products purchasing process, the hypothesized antecedents, their impact on eco-friendly products purchase intention and behavior, and the intention–behavior relation. (shrink)

In this study, we examined the relationship between workplace negative gossip, as perceived by the targets, and proactive behavior by focusing on the mediating role of the target’s emotional exhaustion and the moderating role of the target’s traditionality. Our results from dyadic data on 234 supervisor–subordinate relationships in China revealed that workplace negative gossip was negatively related to proactive behavior; emotional exhaustion mediated this relationship; and traditionality strengthened both the relationship between workplace negative gossip and emotional (...) exhaustion and the indirect effect of workplace negative gossip on proactive behavior via emotional exhaustion. Our findings have a number of theoretical and practical implications for the research on mistreatment and proactive behavior. (shrink)

How social media impacts the autonomy of its users is a topic of increasing focus. However, much of the literature that explores these impacts fails to engage in depth with the philosophical literature on autonomy. This has resulted in a failure to consider the full range of impacts that social media might have on autonomy. A deeper consideration of these impacts is thus needed, given the importance of both autonomy as a moral concept and social media as a feature of (...) contemporary life. By drawing on this philosophical literature, we argue that autonomy is broadly a matter of developing autonomy competencies, having authentic ends and control over key aspects of your own life, and not being manipulated, coerced, and controlled by others. We show how the autonomy of users of social media can be disrespected and harmed through the control that social media can have over its users’ data, attention, and behaviour. We conclude by discussing various recommendations to better regulate social media. (shrink)

This study aims to analyze what drives and prevents the purchasing of eco-friendly products across different consumer groups and develops a conceptual model embracing the positive altruistic, positive ego-centric, and negative ego-centric antecedents of eco-friendly product purchase intention and behavior. We empirically validate the conceptual model for green and non-green consumers. Data are analyzed using structural equation modeling and multi-group analysis of the two groups. The results confirm the relevance of the determining factors in the model and show (...) significant differences in eco-friendly product purchasing patterns between green and non-green consumers. Altruistic motives are more important for green than for non-green consumers. Negative ego-centric motives affect the purchase intentions of non-green consumers more than the intentions of green consumers, whereas the impact of negative motives on behavior is stronger for green than for non-green consumers. The first contribution of this paper is the development and testing of a parsimonious model of eco-friendly products purchasing that embraces both positive and negative antecedents, which have been theoretically suggested in the past but have rarely been empirically tested together. The second contribution of this study is that it develops insight into the specific antecedents of eco-friendly products purchasing for green and non-green consumers to assess potential similarities and differences in eco-friendly products purchasing process, the hypothesized antecedents, their impact on eco-friendly products purchase intention and behavior, and the intention–behavior relation. (shrink)

A great deal of research has been performed recently on robots that feature functions for communicating with humans in daily life, i.e., communication robots. We consider it important to develop methods to measure humans’ attitudes and emotions that may prevent them from interaction with communication robots, as indices to study short-term and long-term interaction between humans and communication robots. This study is aimed at exploring the influence of negative attitudes toward robots, focusing on applications of communication robots to daily-life (...) services. First, a scale of negative attitudes toward robots consisting of three subordinate scales, “negative attitudes toward situations of interaction with robots,” “negative attitudes toward the social influence of robots,” and “negative attitudes toward emotions in interaction with robots,” was developed based on a data sample comprising of 263 Japanese university students. This scale was administered to 240 Japanese university students to confirm its validity and reliability. In this paper, we report on the results of analyses of these data samples. Moreover, we discuss some future problems including a comparison of attitudes toward robots between nations. (shrink)

Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality reduction (...) of data is carried out by applying two hidden layered stacked auto-encoder. Genetic Algorithm (GA) optimized detectors (Artificial Lymphocytes) are trained using Negative Selection Algorithm (NSA) for detection and classification of four motor movements. The trained detectors consist of four sets of detectors, each set is trained for detection and classification of one of the four movements from the other three movements. The optimized radius of detector is small enough not to mis-detect the sample. Euclidean distance of each detector with every training dataset sample is taken and compared with optimized radius of detector as a non-self detector. Our proposed approach achieved a mean classification accuracy of 86.39% for limb movements over 9 subjects with a maximum individual subject classification accuracy of 97.5 % for subject number eight. (shrink)

Future mobility planning to cope with ongoing environmental challenges such as air pollution has to be anchored in the work of every public authority worldwide. One recent trend that could support public authorities to meet the European Union’s sustainability targets is the creation and sharing of transport and mobility “big” data between public authorities via tools such as crowdsourcing. While the benefits of the use of big data to increase public authorities’ efficiency and effectivity and their citizens’ lives (...) is well understood, examples from the public sector that highlight public authorities’ engagement in such sharing activities is still missing. To date relevant literature has highlighted issues around the capacity of public authorities that hinder shared activities. In this paper we want to raise distrust as a key reason for lack of engagement. Based on comprehensive data collected over the period of 4 years via several workshops and semi-structured interviews with seven public authorities in Europe, we are able to demonstrate that a major obstacle for not providing and sharing data via crowdsourcing for mutual benefit lies primarily in the hands of the public authority’s servants of the middle and high-level management. Our results show firstly, that distrust may emerge toward different referents such as the community, particular individuals, or the technology itself and thus, managerial implications have to be very specific to overcome distrust. Secondly, we show how distrust may spread from one referent to another through negative reciprocity and which, if unchecked may lead to an all-encompassing state that affects the whole sharing economy framework and inhibits potential benefits. (shrink)

Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to as (...) neural embedding models, are based on a prediction process embedded in the functioning of a neural network: Such models predict words that should surround a target word in a given context (e.g., word2vec; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). An error signal derived from the prediction is used to update each word's representation via backpropagation. However, another key difference in predictive models is their use of negative information in addition to positive information to develop a semantic representation. The models use negative examples to predict words that should not surround a word in a given context. As before, an error signal derived from the prediction prompts an update of the word's representation, a procedure referred to as negative sampling. Standard uses of word2vec recommend a greater or equal ratio of negative to positive sampling. The use of negative information in developing a representation of semantic information is often thought to be intimately associated with word2vec's prediction process. We assess the role of negative information in developing a semantic representation and show that its power does not reflect the use of a prediction mechanism. Finally, we show how negative information can be efficiently integrated into classic count‐based semantic models using parameter‐free analytical transformations. (shrink)

What has philosophy become after computation? Critical positions about what counts as intelligence, reason, and thinking have addressed this question by reenvisioning and pushing debates about the modern question of technology towards new radical visions. Artificial intelligence, it is argued, is replacing transcendental metaphysics with aggregates of data resulting in predictive modes of decision-making, replacing conceptual reflection with probabilities. This article discusses two main positions. While on the one hand, it is feared that philosophy has been replaced by cybernetic (...) metaphysics, on the other hand it is claimed that only the coconstitution of philosophy and automation challenges modern transcendental reason and colonial capital. As Donna Haraway pointed out, cybernetic circuits of communication have constructed counterfactual ontologies against the master narrative of the human. This article addresses recent attempts at redeveloping a critique of natural philosophy that explains cybernetic metaphysics beyond the universal master narratives of mechanicism and vitalism. This article suggests that the recursive system of nature and technology also needs to account for the problem of philosophical decision, which will be explored in terms of mediatic thinking, instrumentality, and automation. This article follows insights from the movie Get Out (2017) to argue that the model of philosophical decision relies on a servomechanic understanding of the medium of thought, based on the colonial abstraction of value in the prosthetic extension of the slave-machine. It explores the nonphilosophical envisioning of automation in terms of a counterfactual theorisation of the negative negation of the medium and argues for a nonoptical darkness entering the space of thinking. Philosophy and automation are neither coupled nor set in opposition as if in a ceaseless mirroring. Instead, both philosophy and automation must transform their self-determining axiomatics in order to host the heretic activities of machine propositions. (shrink)

The future of health research will be characterised by three continuing trends: rising demand for health data; increasing impracticability of obtaining specific consent for secondary research; and decreasing capacity to effectively anonymise data. In this context, governments, clinicians and the research community must demonstrate that they can be responsible stewards of health data. IRBs and RECs sit at heart of this process because in many jurisdictions they have the capacity to grant consent waivers when research is judged (...) to be of particular value. However, several different terms are used to refer to this value, indicating a lack of conceptual clarity regarding the appropriate test for access to health data for research without consent. In this paper we do three things. First we describe the current confusion and instability in terminology relating to public interest in the context of consent waivers. Second we argue for harmonisation of terminology on the grounds of clarity, transparency and consistency. Third we argue that the term ‘public interest’ best reflects the normative work required to justify consent waivers because it is the broadest of the competing terms. ‘Public interest’ contains within its scope positive and negative implications of a study, as well as welfare, justice and rights considerations. In making this argument, we explain the normative basis for consent waivers, and provide a starting place for further discussion about the precise conditions in which a given study can be said to advance the public interest. Ipsos MORI study found that: … the public would be broadly happy with administrative data linking for research projects provided Those projects have social value, broadly defined. Data are de-identified. Data are kept secure. Businesses are not able to access the data for profit. (shrink)

The increasing availability of digital data reflecting economic and human development, and in particular the availability of data emitted as a by-product of people’s use of technological devices and services, has both political and practical implications for the way people are seen and treated by the state and by the private sector. Yet the data revolution is so far primarily a technical one: the power of data to sort, categorise and intervene has not yet been explicitly (...) connected to a social justice agenda by the agencies and authorities involved. Meanwhile, although data-driven discrimination is advancing at a similar pace to data processing technologies, awareness and mechanisms for combating it are not. This paper posits that just as an idea of justice is needed in order to establish the rule of law, an idea of data justice – fairness in the way people are made visible, represented and treated as a result of their production of digital data – is necessary to determine ethical paths through a datafying world. Bringing together the emerging scholarly perspectives on this topic, I propose three pillars as the basis of a notion of international data justice: visibility, engagement with technology and antidiscrimination. These pillars integrate positive with negative rights and freedoms, and by doing so challenge both the basis of current data protection regulations and the growing assumption that being visible through the data we emit is part of the contemporary social contract. (shrink)

This essay details the resurgence of wellness program as employed by large corporations with the aim of reducing healthcare costs. The essay narrows in on a discussion of how Big Data collection practices are being utilized in wellness programs and the potential negative impact on the worker in regards to privacy and employment discrimination. The essay offers an ethical framework to be adopted by wellness program vendors in order to conduct wellness programs that would achieve cost-saving goals without (...) undue burdens on the worker. The essay also offers some innovative approaches to wellness that may well better serve the goals of healthcare cost reduction. (shrink)

Background: The transition to child care is a challenging time in a child’s life and leads to elevated levels of cortisol. These elevations may be influenced by the quality of the mother-child-relationship. However, remarkably little is known about cortisol production in response to the beginning of child care among children-at-risk such as children with an immigrant background. However, attending kindergarten or any other child day-care institution can for example have a compensating effect on potential language deficits thus improving the educational (...) opportunities of these children. Method: Data of a subsample of N = 24 “hard-to-reach” mother-child dyads was collected in the context of the psychoanalytic early prevention project “First Steps”. The project focuses on the earliest integration of children with an immigrant background by supporting parenting capacities in the critical phase of migration and early parenthood. Children’s hair cortisol concentration (HCC) was assessed one week before (mean age = 38.77 months) and three months after kindergarten entry (mean age = 42.26 months). Hair analysis was conducted for both times of measurement, reflecting the first 3 months after kindergarten entry and 3 months prior. Furthermore, the emotional quality of the mother-child-relationship was assessed with the help of the Emotional Availability Scales (EAS) shortly before kindergarten entry when the children were about three years old (mean age = 37.2). Results and Conclusion: Children’s mean cumulated HCC was higher after kindergarten entry than before. The increase correlated negatively with several dimensions of the EAS. Repeated measures ANCOVA revealed that particularly responsive children and children who had experienced less intrusive mother-child-relationships demonstrated lower elevations in HCC after kindergarten entry. Furthermore, a decreased EA score was found in all EA dimensions, besides the dimension “mother’s non-hostility”, indicating problematic EA within the mother-child-relationships of the sample. The results suggest that children with an immigrant background who experience more emotional available mother-child-relationships seem to regulate stress induced by kindergarten entry more effectively, indicated by lower cortisol elevations after entry. This implicates that supporting early mother-child-relationships by intervention may have a positive effect on the children’s ability to regulate stress induced by kindergarten entry thus promoting child development. (shrink)

The use of Internet to aid research practice has become more popular in the recent years. In fact, some believe that Internet surveying and electronic data collection may revolutionize many disciplines by allowing for easier data collection, larger samples, and therefore more representative data. However, others are skeptical of its usability as well as its practical value. The paper highlights both positive and negative outcomes experienced in a number of e-research projects, focusing on several common mistakes (...) and difficulties experienced by the authors. The discussion focuses on ethics and review board issues, recruitment and sampling techniques, technological issues and errors, and data collection, cleaning, and analysis. (shrink)

Unnecessary health care is a tremendous problem that negatively impacts individuals and also increases health care costs across the system. While much scholarly attention has been paid to the role of patients and providers, payors' role in contributing to the problem is underexplored. The article recommends that payors should nudge providers away from unnecessary care by requiring electronic alerts intended to deter unnecessary care.

IntroductionDespite a growing interest in the field, scarce narrative studies have delved into adolescents’ psychological experiences related to global emergencies caused by infective diseases. The present study aims to investigate adolescents’ narratives on positive and negative experiences related to COVID-19.MethodsItalian adolescents, 2,758, completed two narrative tasks on their most negative and positive experiences during the COVID-19 emergency. Data were analyzed by modeling an analysis of emergent themes.Results“Staying home as a limitation of autonomy,” “School as an educational, not (...) relational environment,” the impact of a “new life routine,” and experiencing “anguish and loss” are the four emergent themes for negative experiences. As for positive experiences, the four themes were “Being part of an extraordinary experience,” “Discovering oneself,” “Re-discovering family,” and “Sharing life at a distance.”ConclusionAuthors discuss the impact of COVID-19 on adolescents’ developmental tasks, such as identity processes and autonomy acquisition. (shrink)

People typically remember emotionally negative words better than neutral words. Two experiments are reported that investigate whether emotionally enhanced memory for negatively arousing words is based on a storage or retrieval advantage. Participants studied non-word–word pairs that either involved negatively arousing or neutral target words. Memory for these target words was tested by means of a recognition test and a cued-recall test. Data were analysed with a multinomial model that allows the disentanglement of storage and retrieval processes in (...) the present recognition-then-cued-recall paradigm. In both experiments the multinomial analyses revealed no storage differences between negatively arousing and neutral words but a clear retrieval advantage for negatively arousing words in the cued-recall test. These findings suggest that EEM for negatively arousing words is driven by associative processes. (shrink)

This article examines ethical concerns surrounding research on minority issues. Specifically, it addresses whether researchers have an obligation to consider the impact that minority research can have on vulnerable populations and their own backgrounds before conducting or assessing minority research for publication. The article argues for such an obligation mainly from a consequentialist perspective and then explores possible strategies for assessing and meeting that obligation. Finally, it explores the possible negative secondary effects of those strategies and censorship concerns.

Knobe wants to help adjudicate the philosophical debate concerning whether and under what conditions we normally judge that some side effect was brought about intentionally. His proposal for doing so is perhaps an obvious one--simply elicit the intuitions of "The Folk" directly on the matter and record the results. Knobe concludes that people's judgment that a side effect was brought about intentionally apparently rests, at least in part, upon how blameworthy they find the agent responsible for it. Knobe's appreciably straightforward (...) approach to this question does not settle the matter, however. Simply raising that question can itself affect our evaluation of the side effect in question as either something good or something bad. As a result, Knobe's experiments effectively bias subjects' responses toward judging the given side effects more negatively than they might have otherwise. Subjects failed to assign a high level of praise for good side effects because taking into account whether they were brought about intentionally or unintentionally makes them suspect. 2012 APA, all rights reserved). (shrink)

Previous theorists have claimed that Russell’s theory of definite descriptions gives the wrong truth conditions to sentences in which definite descriptions are embedded under certain other operators; but the other operators used, such as conditionals and propositional attitude verbs, have introduced intensional and hyperintensional complications that might be thought to obscure the point against Russell. This paper shows that the same kind of problem arises when the operator in question allows the context to be extensional. It is further argued that (...) presuppositional theories of definite descriptions give intuitively satisfying analyses of the novel data. (shrink)

The growing interest in Africa as well as concerns about negative deviant behaviors and ethnic structures necessitates examination of the effect of ethnic expectations on behavior of employees. In this study we leverage insight from ethnos oblige theory to propose that centralization of ethnic norms moderates the relationship between benevolence expectations and negative deviant behavior. Using a cross-sectional design and data from two countries as well as moderation and cross-cultural analytic techniques, we find support for three-way interactions (...) where the relationship between benevolence and negative deviant behavior is moderated by centralization and culture. We discuss the implications of the findings which support the dynamic perspective of management in Africa. (shrink)

Digital tools may help to study socioeconomic aspects of agricultural development that are difficult to measure such as the effects of new policies and technologies on the intra-household allocation of time. As farm technologies target different crops and tasks, they can affect the time-use of men, women, boys, and girls differently. Development strategies that overlook such effects can have negative consequences for vulnerable household members. In this paper, the time-use patterns associated with different levels of agricultural mechanization during land (...) preparation in smallholder farming households in Zambia were investigated. A novel data collection method was used: a pictorial smartphone application that allows real-time recording of time-use, which eliminates recall bias. Existing studies analyzing the intra-household allocation of resources often focus on adult males and females. This study paid particular attention to boys and girls as well as adults. The study addressed seasonal variations. Compositional data analysis was used to account for the co-dependence and sum constraint of time-use data. The study suggests a strong gender differentiation for land preparation activities among mechanized households; for households using manual labor, such differentiation was not found. There is some evidence that the surplus time associated with mechanization is used for off-farm and domestic work. The study cannot confirm concerns about negative second-round effects: mechanized land preparation is not associated with a higher workload for women and children during weeding and harvesting/processing. The study provides a proof-of-concept that smartphone applications can be used to collect socioeconomic data that are difficult to measure but of high relevance. (shrink)

Several of my recent Editorials have dealt with terminological/conceptual errors and confusions that have been all too prevalent among psi researchers. In this Editorial, I want to consider a related issue often raised about parapsychological concepts and explanation. Probably we’ve all heard the complaint that parapsychology’s core concepts have only been defined negatively, with respect to our present level of ignorance—for example, taking “telepathy” to be “the causal influence of one mind on another independently of the known senses.” Perhaps some (...) of you have even expressed that complaint yourselves. Of course, the assumption underlying those complaints is that this definitional strategy is a problem. However, it seems like a perfectly reasonable procedure to me, and I can easily accept the possibility that we might eventually learn enough about phenomena so defined that we can later construct better, detailed, and more informative analytical definitions. But at least as far as psi research is concerned, I consider it presumptuous—at our present (and considerable) level of ignorance—to proceed any other way. We hardly have the barest hint, based on all the available data, as to what psi is doing in the world (i.e., both inside and outside the lab). In fact, formal, experimental evidence has been particularly unilluminating. It has barely succeeded, if it’s succeeded at all, in convincing parapsychological fence-sitters that there are any genuine paranormal phenomena to study (I’ve explored some reasons for this in Braude, 1997). And it certainly hasn’t shed light on how pervasive, extensive, and refined psi effects might be, or whether effects of radically different magnitudes would be the result of substantially different processes. At best, typical quantitative research examines only straitjacketed expressions of phenomena that non-laboratory evidence suggests occur more impressively (if not flamboyantly) “in the wild.” So it strikes me as appropriately modest and circumspect to define “PK” (for example) as “the effect of an organism on a region r of the physical world without any known sort of physical interaction between the organism's body and r.” (For additional specific parapsychological definitions, see Braude, 2002). (shrink)

Workplace stressors were identified to have critical impacts on employee creativity. However, little is known about how and when involuntary citizenship behavior (i.e., compulsory citizenship behavior, CCB)-induced stress might exert influence on employee creativity. To fill this void, the present study firstly develops a moderated mediation model to investigate the CCB—employee creativity association as well as the underling mechanism and contextual condition of this relationship. By integrating social cognitive theory such as self-efficacy theory and conservation of resources (COR) theory, we (...) propose that CCB predicts employee creativity through the mediating role of creative self-efficacy (CSE), with the individual characteristics (i.e., personality traits) of negative affect acting as a boundary condition. Using two-wave time-lagged survey data collected from a sample of 251 front-line employees in 10 manufacturing firms in Southern China, the results show that: (a) CSE mediates the negative relationship between CCB and employee creativity; (b) negative affect moderates the relationship between CCB and CSE; (c) negative affect moderates the indirect influence of CCB on employee creativity through CSE. As the level of negative affect rises, this indirect relationship is stronger. Finally, important theoretical and managerial implications and promising avenues for future research are addressed. (shrink)

ObjectivesPrevious studies on negative workplace gossip have neglected the role of gossip targets of supervisors. The purpose of this paper is to deepen our understanding of how subordinates’ negative workplace gossip affects supervisors’ work-related behaviors. Drawing upon conservation of resource theory, the authors propose that subordinates’ negative gossip leads to supervisor emotional exhaustion. In turn, such emotional exhaustion provokes supervisors to exhibit undermining toward their subordinates. Additionally, the authors propose that a trait factor, namely, supervisor mindfulness, mitigates (...) the relationship between such negative workplace gossip and supervisors’ emotional exhaustion.MethodData were collected from employees and their immediate supervisors in 35 organizations located in Jiangsu and Anhui Provinces in China. The data were obtained at three time points, each time interval was 2 weeks, and finally, 362 valid data points were obtained.ResultsThe following findings were obtained: perceived subordinates’ negative gossip has a significant positive effect on supervisor undermining; supervisor emotional exhaustion mediates the relationship between perceived subordinates’ negative gossip and supervisor undermining; and supervisor mindfulness moderates the relationship between perceived subordinates’ negative gossip and supervisor emotional exhaustion and moderates the mediating effect of supervisor emotional exhaustion on the relationship between perceived subordinates’ negative gossip and supervisor undermining.ConclusionUsing multisource data and a moderated mediation model, we found that subordinates’ negative workplace gossip predicts supervisor undermining through supervisor emotional exhaustion. We also discovered that supervisor mindfulness can buffer the positive relationship between perceived subordinates’ negative workplace gossip and supervisor undermining. These findings have important implications for the literature on negative gossip in the workforce, especially the impact of subordinates’ negative workplace gossip on supervisors’ responses. (shrink)