Given a rich environment, how do we decide on what information to use? A view of a single entity (e.g., a group of birds) affords many distinct interpretations, including their number, average size, and spatial extent. An enduring challenge for cognition, therefore, is to focus resources on the most relevant evidence for any particular decision. In the present study, subjects completed three tasks—number discrimination, surface area discrimination, and convex hull discrimination—with the same stimulus set, where these three (...) features were orthogonalized. Therefore, only the relevant feature provided consistent evidence for decisions in each task. This allowed us to determine how well humans discriminate each feature dimension and what evidence they relied on to do so. We introduce a novel computational approach that fits both feature precision and feature use. We found that the most relevant feature for each decision is extracted and relied on, with minor contributions from competing features. These results suggest that multiple feature dimensions are separately represented for each attended ensemble of many items and that cognition is efficient at selecting the appropriate evidence for a decision. (shrink)

A Theory of Magnitude suggests that space, time, and quantities are processed through a generalized magnitude system. ATOM posits that task-irrelevant magnitudes interfere with the processing of task-relevant magnitudes as all the magnitudes are processed by a common system. Many behavioral and neuroimaging studies have found support in favor of a common magnitude processing system. However, it is largely unknown whether such cross-domain monotonic mapping arises from a change in the accuracy of the magnitude judgments or (...) results from changes in precision of the processing of magnitude. Therefore, in the present study, we examined whether large numerical magnitude affects temporal accuracy or temporal precision, or both. In other words, whether numerical magnitudes change our temporal experience or simply bias duration judgments. The temporal discrimination paradigm was used to present numerical magnitudes across varied durations. We estimated temporal accuracy and precision for each numerical magnitude. The results revealed that temporal accuracy for large numerical magnitude was significantly lower than that of small and identical magnitudes. This implies that the temporal duration was overestimated for large numerical magnitude compared to small and identical numerical magnitude, in line with ATOM’s prediction. However, no influence of numerical magnitude was observed on temporal precision. The findings of the present study suggest that task-irrelevant numerical magnitude selectively affects the accuracy of processing of duration but not duration discrimination itself. Further, we argue that numerical magnitude may not directly affect temporal processing but could influence via attentional mechanisms. (shrink)

The ability to represent, discriminate, and perform arithmetic operations on discrete quantities (numerosities) has been documented in a variety of species of different taxonomic groups, both vertebrates and invertebrates. We do not know, however, to what extent similarity in behavioral data corresponds to basic similarity in underlying neural mechanisms. Here, we review evidence for magnitude representation, both discrete (countable) and continuous, following the sensory input path from primary sensory systems to associative pallial territories in the vertebrate brains. We also (...) speculate on possible underlying mechanisms in invertebrate brains and on the role played by modeling with artificial neural networks. This may provide a general overview on the nervous system involvement in approximating quantity in different animal species, and a general theoretical framework to future comparative studies on the neurobiology of number cognition. (shrink)

We bear witness to a sweeping social movement for change—fostered and driven by a powerful group of Black nurses and nursing students determined to call out and dismantle anti‐Black racism and discrimination within the profession of nursing. The Black Nurses Task Force, launched by the Registered Nurses' Association of Ontario (RNAO) in July 2020, is building momentum for long‐standing change in the profession by critically examining the racist and discriminatory history of nursing, listening to and learning from the lived (...) experiences of the Black nursing community, and shaping concrete, actionable steps to confront anti‐Black racism and discrimination in academic settings, workplaces, and nursing organizations. The Black Nurses Task Force and the RNAO are standing up and speaking out in acknowledgment of the magnitude of anti‐Black racism and discrimination that exist in our profession, health system, justice system, and economic system. This social movement is demonstrating, in actions, how individuals and a collective act as change agents to drive meaningful and widespread change for our present and future Black nurses. We also acknowledge the Black nurses who have gone before us. (shrink)

Nearly all research in neurofeedback since the 1960s has focused on training voluntary control over EEG constructs. By contrast, EEG state discrimination training focuses on awareness of subjective correlates of EEG states. This study presents the first successful replication of EEG alpha state discrimination first reported by Kamiya . A 150-s baseline was recorded in 106 participants. During the task, low triggered a prompt. Participants indicated “high” or “low” with a keypress response and received immediate feedback. Seventy-five percent (...) of participants achieved significant discrimination within nine sessions, with a significant learning curve effect. Performance was significantly related to physical properties of the EEG signal, including magnitude, duration, and absolute vs. relative amplitude. These results are consistent with a conceptualization of EEG state discrimination as a sensory modality, although it is also intricately related to voluntary control of these states. (shrink)

Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parsers have restricted training and evaluation to artificially short sentences, we present the first general, featurerich discriminative parser, based on a conditional random field model, which has been successfully scaled to the full WSJ parsing data. Our efficiency is primarily due to the use of stochastic optimization techniques, as well as parallelization and chart prefiltering. On WSJ15, (...) we attain a state-of-the-art F-score of 90.9%, a 14% relative reduction in error over previous models, while being two orders of magnitude faster. On sentences of length 40, our system achieves an F-score of 89.0%, a 36% relative reduction in error over a generative baseline. (shrink)

The number of discriminable colours is often assumed to be of the order of several million but the extent of detectable chromatic diversity present in individual natural scenes is an open question. Here, the aim was to estimate the number of discriminable colours seen in natural scenes. Hyperspectral data were obtained from a set of natural scenes over the range 400 - 720 nm at 10 nm intervals (Nascimento et al, 2002 Journal of the Optical Society of America A 19 (...) 1484 - 1490) and the representation of each scene in CIELAB space computed for all pixels of the image. The number of discriminable colours was estimated by counting the number of unit volumes in the three-dimensional volume defined by the scene when represented in CIELAB space. We found that the number of discriminable colours estimated in a scene could vary by an order of magnitude from scene to scene, but rarely exceeded 105, indicating a limited chromatic diversity. (shrink)

Significant research has been devoted to detecting people in images and videos. In this paper we describe a human de- tection method that augments widely used edge-based fea- tures with texture and color information, providing us with a much richer descriptor set. This augmentation results in an extremely high-dimensional feature space (more than 170,000 dimensions). In such high-dimensional spaces, classical machine learning algorithms such as SVMs are nearly intractable with respect to training. Furthermore, the number of training samples is much (...) smaller than the dimensionality of the feature space, by at least an order of magnitude. Finally, the extraction of features from a densely sampled grid structure leads to a high degree of multicollinearity. To circumvent these data characteristics, we employ Partial Least Squares (PLS) analysis, an effi- cient dimensionality reduction technique, one which pre- serves significant discriminative information, to project the data onto a much lower dimensional subspace (20 dimen- sions, reduced from the original 170,000). Our human de- tection system, employing PLS analysis over the enriched descriptor set, is shown to outperform state-of-the-art tech- niques on three varied datasets including the popular INRIA pedestrian dataset, the low-resolution gray-scale Daim- lerChrysler pedestrian dataset, and the ETHZ pedestrian dataset consisting of full-length videos of crowded scenes. (shrink)

Digital pictures can be type-identical in respect of colours, shapes and sizes (allographic), but they are not tokens of notational systems, because the types under which they are identical have vague limits and do not meet the requirements for notational characters. Digital display devices are designed to instantiate only limited ranges of objective properties (light intensities, sizes and shapes). Those ranges keep differences in objective magnitudes below sensory discrimination thresholds, and thus define objective conditions sufficient, but not necessary, for (...) the phenomenal type-identity of pictures. The fact that digital pictures are types shows that pictures are not necessarily autographic. Moreover, the reasons why digital pictures are allographic (essentially, the consistent manipulation of sub-phenomenal information) could in principle also be made to apply to non-digital pictures. (shrink)

Both intertemporal and intratemporal equity are central to the examination of policy towards climate change. However, many discussions of intertemporal issues have been marred by serious analytical errors, particularly in applying standard approaches to discounting; the errors arise, in part, from paying insufficient attention to the magnitude of potential damages, and in part from overlooking problems with market information. Some of the philosophical concepts and principles of Paper 1 are applied to the analytics and ethics of pure-time discounting and (...) infinite-horizon models, providing helpful insights into orderings of welfare streams and obligations towards future generations. Such principles give little support for the idea of discrimination by date of birth. Intratemporal issues are central to problematic and slow-moving international discussions and are the second focus of this paper. A way forward is to cast the policy issues and analyses in a way that keeps equity issues central and embeds them in the challenge of fostering the dynamic transition to the low-carbon economy in both developed and developing countries. This avoids the trap of seeing issues primarily in terms of burden-sharing and zero-sum games – that leads to inaction and the most inequitable outcome of all. (shrink)

IntroductionThose in mental health-related consumer movements have made clear their demands for humane treatment and basic civil rights, an end to stigma and discrimination, and a chance to participate in their own recovery. But theorizing about the politics of recognition, 'recognition rights' and epistemic justice, suggests that they also have a stake in the broad cultural meanings associated with conceptions of mental health and illness.ResultsFirst person accounts of psychiatric diagnosis and mental health care (shown here to represent 'counter stories' (...) to the powerful 'master narrative' of biomedical psychiatry), offer indications about how experiences of mental disorder might be reframed and redefined as part of efforts to acknowledge and honor recognition rights and epistemic justice. However, the task of cultural semantics is one for the entire culture, not merely consumers. These new meanings must be negotiated. When they are not the result of negotiation, group-wrought definitions risk imposing a revision no less constraining than the mis-recognizing one it aims to replace. Contested realities make this a challenging task when it comes to cultural meanings about mental disorder. Examples from mental illness memoirs about two contested realities related to psychosis are examined here: the meaninglessness of symptoms, and the role of insight into illness. They show the magnitude of the challenge involved - for consumers, practitioners, and the general public - in the reconstruction of these new meanings and realities.ConclusionTo honor recognition rights and epistemic justice acknowledgement must be made of the heterogeneity of the effects of, and of responses to, psychiatric diagnosis and care, and the extent of the challenge of the reconstructive cultural semantics involved. (shrink)

Bioethicists often present ‘saving lives’ as a goal distinct from, and competing with, that of extending lives by as much as possible. I argue that this usage of the term is misleading, and provides unwarranted rhetorical support for neglecting the magnitudes of the harms and benefits at stake in medical allocation decisions, often to the detriment of the young. Equal concern for all persons requires weighting equal interests equally, but not all individuals have an equal interest in ‘life-saving’ treatment.

For scatterplots with gaussian distributions of dots, the perception of Pearson correlation r can be described by two simple laws: a linear one for discrimination, and a logarithmic one for perceived magnitude (Rensink & Baldridge, 2010). The underlying perceptual mechanisms, however, remain poorly understood. To cast light on these, four different distributions of datapoints were examined. The first had 100 points with equal variance in both dimensions. Consistent with earlier results, just noticeable difference (JND) was a linear function (...) of the distance away from r = 1, and the magnitude of perceived correlation a logarithmic function of this quantity. In addition, these laws were linked, with the intercept of the JND line being the inverse of the bias in perceived magnitude. Three other conditions were also examined: a dot cloud with 25 points, a horizontal compression of the cloud, and a cloud with a uniform distribution of dots. Performance was found to be similar in all conditions. The generality and form of these laws suggest that what underlies correlation perception is not a geometric structure such as the shape of the dot cloud, but the shape of the probability distribution of the dots, likely inferred via a form of ensemble coding. It is suggested that this reflects the ability of observers to perceive the information entropy in an image, with this quantity used as a proxy for Pearson correlation. (shrink)

Mismatch negativity is the electroencephalographic waveform obtained by subtracting event-related potential responses evoked by unexpected deviant stimuli from responses evoked by expected standard stimuli. While the MMN is thought to reflect an unexpected change in an ongoing, predictable stimulus, it is unknown whether MMN responses evoked by changes in different stimulus features have different magnitudes, latencies, and topographies. The present study aimed to investigate whether MMN responses differ depending on whether sudden stimulus change occur in pitch, duration, location or vowel (...) identity, respectively. To calculate ERPs to standard and deviant stimuli, EEG signals were recorded in normal-hearing participants who listened to roving oddball sequences of artificial syllables. In the roving paradigm, any given stimulus is repeated several times to form a standard, and then suddenly replaced with a deviant stimulus which differs from the standard. Here, deviants differed from preceding standards along one of four features. The feature levels were individually chosen to match behavioral discrimination performance. We identified neural activity evoked by unexpected violations along all four acoustic dimensions. Evoked responses to deviant stimuli increased in amplitude relative to the responses to standard stimuli. A univariate analysis yielded no significant differences between MMN responses following violations of different features. However, in a multivariate analysis, acoustic features could be decoded from the topography of mismatch responses, although at later latencies than those typical for MMN. These results support the notion that deviant feature detection may be subserved by a different process than general mismatch detection. (shrink)

A passive brain–computer interface based upon functional near-infrared spectroscopy brain signals is used for earlier detection of human drowsiness during driving tasks. This BCI modality acquired hemodynamic signals of 13 healthy subjects from the right dorsolateral prefrontal cortex of the brain. Drowsiness activity is recorded using a continuous-wave fNIRS system and eight channels over the right DPFC. During the experiment, sleep-deprived subjects drove a vehicle in a driving simulator while their cerebral oxygen regulation state was continuously measured. Vector phase analysis (...) was used as a classifier to detect drowsiness state along with sleep stage-based threshold criteria. Extensive training and testing with various feature sets and classifiers are done to justify the adaptation of threshold criteria for any subject without requiring recalibration. Three statistical features along with six VPA features were used. The average accuracies for the five classifiers are 90.9% for discriminant analysis, 92.5% for support vector machines, 92.3% for nearest neighbors, 92.4% for both decision trees, and ensembles over all subjects’ data. Trajectory slopes of CORE vector magnitude and angle: m and m are the best-performing features, along with ensemble classifier with the highest accuracy of 95.3% and minimum computation time of 40 ms. The statistical significance of the results is validated with a p-value of less than 0.05. The proposed passive BCI scheme demonstrates a promising technique for online drowsiness detection using VPA along with sleep stage classification. (shrink)

Four experiments investigated the extent to which abstract quantitative information can be conveyed by basic visual features. This was done by asking observers to estimate and discriminate Pearson correlation in graphical representations where the first data dimension of each element was encoded by its horizontal position, and the second by the value of one of its visual features; perceiving correlation then requires combining the information in the two encodings via a common abstract representation. Four visual features were examined: luminance, color, (...) orientation, and size. All were able to support the perception of correlation. Indeed, despite the strikingly different appearances of the associated stimuli, all gave rise to performance that was much the same: just noticeable difference was a linear function of distance from complete correlation, and estimated correlation a logarithmic function of this distance. Performance differed only in regards to the level of noise in the feature, with these values compatible with estimates of channel capacity encountered in classic experiments on absolute perceptual magnitudes. These results suggest that quantitative information can be conveyed by visual features that are abstracted at relatively low levels of visual processing, with little representation of the original sensory property. It is proposed that this is achieved via an abstract parameter space in which the values in each perceptual dimension are normalized to have the same means and variances, with perceived correlation based on the shape of the joint probability density function of the resultant elements. (shrink)

Attention and adaptation are both mechanisms that optimize visual performance. Attention optimizes performance by increasing contrast sensitivity for and neural response to attended stimuli while decreasing them for unattended stimuli; adaptation optimizes performance by increasing contrast sensitivity for and neural response to changing stimuli while decreasing them for unchanging stimuli. We investigated whether and how the adaptation state and the attentional effect on contrast sensitivity interact. We measured contrast sensitivity with an orientation-discrimination task, in two adaptation conditions—adapt to 0% (...) or 100% contrast—in focused, distributed, and withdrawn attentional conditions. We used threshold and asymptotic performance to index the magnitude of the attentional effect—enhancement or impairment in contrast sensitivity—before and after adapting to high-contrast stimuli. The results show that attention and adaptation affect the contrast psychometric function in a similar but opposite way: Attention increases stimulus salience, whereas adaptation reduces stimulus salience. An interesting finding is that the adaptation state does not modulate the magnitude of the attentional effect. This suggests that attention affects the normalized signal once the effect of contrast adaptation has taken place and that these two mechanisms act separately to change contrast sensitivity. Attention can overcome adaptation to restore contrast sensitivity. (shrink)

Mature representations of number are built on a core system of numerical representation that connects to spatial representations in the form of a ‘mental number line’. The core number system is functional in early infancy, but little is known about the origins of the mapping of numbers onto space. Here we show that preverbal infants transfer the discrimination of an ordered series of numerosities to the discrimination of an ordered series of line lengths. Moreover, infants construct relationships between (...) individual numbers and line lengths that vary positively, but not between numbers and lengths that vary inversely. These findings provide evidence for an early developing predisposition to relate representations of numerical magnitude and spatial length. A central foundation of mathematics, science and technology therefore emerges prior to experience with language, symbol systems, or measurement devices. (shrink)

This article examines international and European regulations on research involving prisoners for consensus, differences, and their consequences, and offers a critical evaluation of the various approaches. Agreement exists that prisoners are at risk of coercion, which might interfere with their ability to provide voluntary informed consent to research. Controversy exists about the magnitude of this risk and the consequences that should follow from this risk. Two strategies are proposed for a method of protecting prisoners that does not lead to (...) discrimination: first, more caution to assure non-coerced consent and second, restrictions on the type of research. Most regulations stress the importance of the principle of equivalence of healthcare in places of detention as part of an efficient protection against research risks and discrimination. All the presented approaches have shortcomings. While 'over-use' of prisoners for research as compared to the general population is ethically unjustified, not granting prisoners access to studies beneficial to their own health because of over-strict regulations is equally unjustified. A middle solution should be preferred, one that grants a minimum of protection together with the lowest possible barriers. Research that does not entail a direct benefit for the individual detainee should be restricted to types of research that have a benefit for detainees as a group and that are of low risk. What will ultimately protect prisoners best, while producing the greatest benefit for them, is access to the same healthcare available to members of the community including research as a true option. (shrink)

In recent years, cognitive neuroscientists have began to explore the process of how sensory information gains access to awareness. To further probe this process, event-related functional magnetic resonance imaging was used while testing subjects with a paradigm known as the “attentional blink.” In this paradigm, visually presented information sporadically fails to reach awareness. It was found that the magnitude and time course of activation within the anterior cingulate , medial prefrontal cortex , and frontopolar cortex predicted whether or not (...) information was consciously perceived during the critical period for the attentional blink. These results are discussed in light of a neural framework for conscious processing. (shrink)

We show that the divergence between the predictions of quantum optics and the local realist theory known as stochastic optics, for the extended type of photon-coincidence experiment described recently by de Caro, is of the same order of magnitude as for Aspect-type experiments. This means that, in such new experiments, as in those so far performed, counting statistics will have to be greatly improved before a discrimination between the two theories becomes possible.We also show that the outstanding difference (...) between the two theories is that, while stochastic optics uses a genuine, that is, positive, detection probability, the corresponding quantum formalism leads to a pseudoprobability. Nevertheless, there is a striking parallel, in that both theories recognize the phenomenon known as enhancement, and both describe it as having its origin in a mixing of the signal field with the zero-point field by a polarizing device. (shrink)

The goals of the present study were to test whether (and which) basic numerical abilities can be improved with training and whether training effects transfer to improvement in children’s math achievement. The literature is mixed with evidence that does or does not substantiate the efficacy of training basic numerical ability. In the present study, we developed a child-friendly software named ‘123 Bakery’ which includes four training modules; non-symbolic numerosity comparison, non-symbolic numerosity estimation, approximate arithmetic and symbol-to-numerosity mapping. Fifty-six first graders (...) were randomly assigned to either the training or control group. The training group participated in 6 weeks of training (5 times a week, 30 minutes per day). All participants underwent pre- and post- training assessment of their basic numerical processing ability (including numerosity discrimination acuity, symbolic/non-symbolic magnitude estimation, approximate arithmetic, symbol-to-numerosity mapping), overall math achievement and intelligence, 6 weeks apart. The acuity for numerosity discrimination (approximate number sense acuity; ANS acuity) significantly improved after training, but this training effect did not transfer to improvement in symbolic, exact calculation, or any other math ability. We conclude that basic numerical cognition training leads to improvement in ANS acuity, but whether this effect transfers to symbolic math ability remains to be further tested. (shrink)

Cognitive neuroscience has inspired a number of methodological advances to extract the highest signal-to-noise ratio from neuroimaging data. Popular techniques used to summarize behavioral data include sum-scores and item response theory. While these techniques can be useful when applied appropriately, item dimensionality and the quality of information are often left unexplored allowing poor performing items to be included in an itemset. The purpose of this study is to highlight how the application of two-stage approaches introduces parameter bias, differential item functioning (...) can manifest in cognitive neuroscience data and how techniques such as the multiple indicator multiple cause model can identify and remove items with DIF and model these data with greater sensitivity for brain–behavior relationships. This was performed using a simulation and an empirical study. The simulation explores parameter bias across two separate techniques used to summarize behavioral data: sum-scores and IRT and formative relationships with those estimated from a MIMIC model. In an empirical study participants performed an emotional identification task while concurrent electroencephalogram data were acquired across 384 trials. Participants were asked to identify the emotion presented by a static face of a child across four categories: happy, neutral, discomfort, and distress. The primary outcomes of interest were P200 event-related potential amplitude and latency within each emotion category. Instances of DIF related to correct emotion identification were explored with respect to an individual’s neurophysiology; specifically an item’s difficulty and discrimination were explored with respect to an individual’s average P200 amplitude and latency using a MIMIC model. The MIMIC model’s sensitivity was then compared to popular two-stage approaches for cognitive performance summary scores, including sum-scores and an IRT model framework and then regressing these onto the ERP characteristics. Here sensitivity refers to the magnitude and significance of coefficients relating the brain to these behavioral outcomes. The first set of analyses displayed instances of DIF within all four emotions which were then removed from all further models. The next set of analyses compared the two-stage approaches with the MIMIC model. Only the MIMIC model identified any significant brain–behavior relationships. Taken together, these results indicate that item performance can be gleaned from subject-specific biomarkers, and that techniques such as the MIMIC model may be useful tools to derive complex item-level brain–behavior relationships. (shrink)

Fringe benefits have been neglected as a source of job-induced gender inequality. Among full-time, private sector workers in the United States in 1979, women's health insurance coverage rate was 12 percentage points lower than men's. This article considers three models to explain such gender differences in the receipt of fringe benefits: the direct discrimination model, the occupational segregation model, and the industrial segregation model. Using data from the May 1979 Current Population Survey Supplement, we found the magnitude of (...) the gender gap in health insurance coverage in the United States to be related to industrial differences. We argue that industrial segregation of women workers may be more important than occupational segregation in determining gender differences in work rewards. (shrink)

Watching another person in pain activates brain areas involved in the sensation of our own pain. Importantly, this neural mirroring is not constant; rather, it is modulated by our beliefs about their intentions, circumstances, and group allegiances. We investigated if the neural empathic response is modulated by minimally-differentiating information (e.g., a simple text label indicating another’s religious belief), and if neural activity changes predict ingroups and outgroups across independent paradigms. We found that the empathic response was larger when participants viewed (...) a painful event occurring to a hand labeled with their own religion (ingroup) than to a hand labeled with a different religion (outgroup). Counterintuitively, the magnitude of this bias correlated positively with the magnitude of participants’ self-reported empathy. A multivariate classifier, using mean activity in empathy-related brain regions as features, discriminated ingroup from outgroup with 72% accuracy; the classifier’s confidence correlated with belief certainty. This classifier generalized successfully to validation experiments in which the ingroup condition was based on an arbitrary group assignment. Empathy networks thus allow for the classification of long-held, newly-modified and arbitrarily-formed ingroups and outgroups. This is the first report of a single machine learning model on neural activation that generalizes to multiple representations of ingroup and outgroup. The current findings may prove useful as an objective diagnostic tool to measure the magnitude of one’s group affiliations, and the effectiveness of interventions to reduce ingroup biases. (shrink)

Wilkinson and Savulescu did not agree with the court's decision to continue M's treatment and suggested in their recent commentary that the magnitude of benefits of being alive for M is small compared with the potential use of health resources for other patients. We argue that the benefits of being sensate to the surroundings for an otherwise unconscious person are not necessarily small. One cannot assess on behalf of another person the magnitude of benefits of being alive according (...) to the intensity or the duration of negative experiences. Denying life-sustaining treatment to patients in a minimally conscious state solely on the grounds that they are less capable of enjoying the benefits represents grave discrimination against disabled persons. For patients in a minimally conscious state who have not delegated a surrogate or made any advance decision about their medical treatment, the duty of doctors is to preserve their right to self-determination and maximise their capacity to enjoy their life. M should live on, and life-sustaining treatment should not be withdrawn. (shrink)

Religion: a socio-spiritual phenomenon that pervades and influences human actions in all realms of human existences plays diverse and divergent roles in the society. Therefore, it is difficult to define with a simply and a single category. Hence, on the one hand, Karl Marx saw it as an instrument that supports the status quo and oppresses the less privileged and the powerless and as such a vital force in the legitimization of social ills in the society. On the other hand, (...) Marx Webber and other functional theorists maintain that religion as a social fact is a force in mobilizing social solidarity and unified actions against the social order. In this direction religion therefore plays revolutionary roles in any given society. Against the backdrop of the seeming contradicting and conflicting positions of these two main schools of thought in the field of sociology of religion, this paper is poised to reassess the divergent roles religion has played in history among the oppressed people of the world, using the both Marxian and Webberian paradigms as a matrix. This paper considers oppressive society as a society that maintains a social and economic classification of its members as a norm. It is also noted that it is through such classification of its members in their nexus that social injustice, discriminations, dehumanization are maintained. This situation is the defining paradigm of the global village , governed strictly by economic dictum. To this end therefore, this paper re-invokes the roles religion played in the ‘Antebellum’ America, with a view of applying the same in the modern era, which has great resemblance with the Antebellum America, in terms of oppression, though not in its magnitude. (shrink)

Statistical evidence is crucial throughout disparate impact’s three-stage analysis: during (1) the plaintiff’s prima facie demonstration of a policy’s disparate impact; (2) the defendant’s job-related business necessity defense of the discriminatory policy; and (3) the plaintiff’s demonstration of an alternative policy without the same discriminatory impact. The circuit courts are split on a vital question about the “practical significance” of statistics at Stage 1: Are “small” impacts legally insignificant? For example, is an employment policy that causes a one percent disparate (...) impact an appropriate policy for redress through disparate impact litigation? This circuit split calls for a comprehensive analysis of practical significance testing across disparate impact’s stages. Importantly, courts and commentators use “practical significance” ambiguously between two aspects of practical significance: the magnitude of an effect and confidence in statistical evidence. For example, at Stage 1 courts might ask whether statistical evidence supports a disparate impact (a confidence inquiry) and whether such an impact is large enough to be legally relevant (a magnitude inquiry). Disparate impact’s texts, purposes, and controlling interpretations are consistent with confidence inquires at all three stages, but not magnitude inquiries. Specifically, magnitude inquiries are inappropriate at Stages 1 and 3—there is no discriminatory impact or reduction too small or subtle for the purposes of the disparate impact analysis. Magnitude inquiries are appropriate at Stage 2, when an employer defends a discriminatory policy on the basis of its job-related business necessity. (shrink)

Empirical discussions of mental representation appeal to a wide variety of representational kinds. Some of these kinds, such as the sentential representations underlying language use and the pictorial representations of visual imagery, are thoroughly familiar to philosophers. Others have received almost no philosophical attention at all. Included in this latter category are analogue magnitude representations, which enable a wide range of organisms to primitively represent spatial, temporal, numerical, and related magnitudes. This article aims to introduce analogue magnitude representations (...) to a philosophical audience by rehearsing empirical evidence for their existence and analysing their format, their content, and the computations they support. 1 Background1.1 Evidence of analogue magnitude representations1.2 Weber’s law1.3 Scepticism about analogue magnitude representations2 Format2.1 Carey’s analogy2.2 Neural realization2.3 Analogue representation2.4 Analogue magnitude representation components3 Content3.1 Do analogue magnitude representations have representational content?3.2 What do analogue magnitude representations represent?3.3 What content types do analogue magnitude representations have?4 Computations4.1 Arithmetic computation4.2 Practical deliberation5 Conclusion. (shrink)

Discrimination, understood as differential treatment of individuals on the basis of their respective group memberships, is widely considered to be morally wrong. This moral judgment is backed in many jurisdictions with the passage of equality of opportunity legislation, which aims to ensure that racial, ethnic, religious, sexual, sexual-orientation, disability and other groups are not subjected to discrimination. This chapter explores the conceptual underpinnings of discrimination and equality of opportunity using the tools of analytical moral and political philosophy.

In a recent paper by Casasanto and Pitt (2019), the authors addressed a debate regarding the role of order and magnitude in SNARC and SNARC‐like effects. Their position is that all these effects can be explained by order, while magnitude could only account for a subset of evidence. Although we agree that order can probably explain the majority of these effects, in this commentary we argue that magnitude is still relevant, since there is evidence that cannot be (...) explained based on ordinality alone. We argue that SNARC‐like effects can occur for magnitudes not clearly characterized by overlearned ordinality and that magnitude can prevail on order, when the two are pitted against each other. Finally, we propose that different interpretations of the role of order and magnitude depend on the interaction of stimulus properties and task demands. (shrink)

Members of the field of philosophy have, just as other people, political convictions or, as psychologists call them, ideologies. How are different ideologies distributed and perceived in the field? Using the familiar distinction between the political left and right, we surveyed an international sample of 794 subjects in philosophy. We found that survey participants clearly leaned left (75%), while right-leaning individuals (14%) and moderates (11%) were underrepresented. Moreover, and strikingly, across the political spectrum, from very left-leaning individuals and moderates to (...) very right-leaning individuals, participants reported experiencing ideological hostility in the field, occasionally even from those from their own side of the political spectrum. Finally, while about half of the subjects believed that discrimination against left- or right-leaning individuals in the field is not justified, a significant minority displayed an explicit willingness to discriminate against colleagues with the opposite ideology. Our findings are both surprising and important, because a commitment to tolerance and equality is widespread in philosophy, and there is reason to think that ideological similarity, hostility, and discrimination undermine reliable belief formation in many areas of the discipline. (shrink)

Sometimes, a form of discrimination is hard to register, understand, and articulate. A rich precedent demonstrates how victim testimonies have been key in uncovering such “hidden” forms of discrimination, from sexual harassment to microaggressions. I reflect on how this plausibly goes too for “attentional discrimination”, referring to cases where the more meaningful attributes of one social group are made salient in attention in contrast to the less meaningful attributes of another. Victim testimonies understandably dominate the “context-of-discovery” stage (...) of research into these initially opaque forms of discrimination; a victim’s encounter with the gap between their experience and dominant conceptual frameworks for understanding it is what provides an initial foothold for analysis to begin. Some object, however, to this methodology continuing to dominate the later “context-of-justification” stage, where the hypothesis is rigorously challenged. I argue that this objection underestimates not just how other methodologies are more likely to inherit the various mechanisms of invisibility hiding the discrimination in question, but also how victim testimonies are distinctively well-suited to recognize and challenge those mechanisms. Victim testimonies, then, ought to continue playing a dominant role into these later stages of research regarding hidden forms of discrimination. (shrink)

In this chapter, I outline what philosophers working on the ethics of immigration have had to say with regard to invidious discrimination. In doing so, I look at both instances of direct discrimination, by which I mean discrimination that is explicitly stated in official immigration policy, and indirect discrimination, by which I mean cases where the implementation or enforcement of facially “neutral” policies nonetheless generate invidious forms of discrimination. The end goal of this chapter is (...) not necessarily to take a side, but to outline the terrain and provide the reader with an adequate entryway into these philosophical discussions over discrimination and immigration. (shrink)