Results for 'Function loss'

991 found
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  1.  30
    Functional Equivalence of Sleep Loss and Time on Task Effects in Sustained Attention.Bella Z. Veksler & Glenn Gunzelmann - 2018 - Cognitive Science 42 (2):600-632.
    Research on sleep loss and vigilance both focus on declines in cognitive performance, but theoretical accounts have developed largely in parallel in these two areas. In addition, computational instantiations of theoretical accounts are rare. The current work uses computational modeling to explore whether the same mechanisms can account for the effects of both sleep loss and time on task on performance. A classic task used in the sleep deprivation literature, the Psychomotor Vigilance Test, was extended from the typical (...)
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  2.  36
    High functional load inhibits phonological contrast loss: A corpus study.Andrew Wedel, Abby Kaplan & Scott Jackson - 2013 - Cognition 128 (2):179-186.
  3. Executive Functions in Predicting Weight Loss and Obesity Indicators: A Meta-Analysis.Zhongquan Du, Jingjing Li, Jiaai Huang, Jing Ma, Xiaoyu Xu, Rong Zou & Xia Xu - 2021 - Frontiers in Psychology 11:604113.
    While previous studies have suggested that there exists a relationship between obesity and executive function (EF), the mechanisms and causal relationship between them remain unclear. There are important clinical implications of determining whether EF can predict and treat obesity. We conducted a multilevel meta-analysis of randomized controlled trials (RCTs) and longitudinal studies. Specifically, we investigate (a) whether EF interventions have an effect on weight loss, (b) whether baseline EF can be a predictor of future weight loss through (...)
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  4.  8
    Altered functional connectivity in individuals with loss of control eating.Leora Benson, Karol Osipowicz, Fengqing Zhang & Michael Lowe - 2018 - Frontiers in Human Neuroscience 12.
  5.  16
    Functional Connectivity of Heschl’s Gyrus Associated With Age-Related Hearing Loss: A Resting-State fMRI Study.Megan C. Fitzhugh, Angela Hemesath, Sydney Y. Schaefer, Leslie C. Baxter & Corianne Rogalsky - 2019 - Frontiers in Psychology 10.
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  6.  42
    Altered Functional Connectivity in Patients With Sloping Sensorineural Hearing Loss.Tomasz Wolak, Katarzyna Cieśla, Agnieszka Pluta, Elżbieta Włodarczyk, Bharat Biswal & Henryk Skarżyński - 2019 - Frontiers in Human Neuroscience 13.
  7.  81
    Teleological functional explanations: a new naturalist synthesis.Mihnea Capraru - forthcoming - Acta Biotheoretica.
    The etiological account of teleological function is beset by several difficulties, which I propose to solve by grafting onto the etiological theory a subordinated goal-contribution clause. This approach enables us to ascribe neither too many teleofunctions nor too few; to give a unitary, one-clause analysis that works just as well for teleological functions derived from Darwinian evolution, as for those derived from human intention; and finally, to save the etiological theory from falsification, by explaining how, in spite of appearances, (...)
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  8.  20
    Defining Eosinophil Function in Adiposity and Weight Loss.Alexander J. Knights, Emily J. Vohralik, Kyle L. Hoehn, Merlin Crossley & Kate G. R. Quinlan - 2018 - Bioessays 40 (10):1800098.
    Despite promising early work into the role of immune cells such as eosinophils in adipose tissue (AT) homeostasis, recent findings revealed that elevating the number of eosinophils in AT alone is insufficient for improving metabolic impairments in obese mice. Eosinophils are primarily recognized for their role in allergic immunity and defence against parasitic worms. They have also been detected in AT and appear to contribute to adipose homeostasis and drive energy expenditure, but the underlying mechanisms remain elusive. It has long (...)
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  9.  9
    Recovery from retention loss as a function of amount of pre-recall warming-up.Arthur L. Irion & Dorothy S. Wham - 1951 - Journal of Experimental Psychology 41 (4):242.
  10.  62
    Global Robustness with Respect to the Loss Function and the Prior.Christophe Abraham & Jean-Pierre Daures - 2000 - Theory and Decision 48 (4):359-381.
    We propose a class [I,S] of loss functions for modeling the imprecise preferences of the decision maker in Bayesian Decision Theory. This class is built upon two extreme loss functions I and S which reflect the limited information about the loss function. We give an approximation of the set of Bayes actions for every loss function in [I,S] and every prior in a mixture class; if the decision space is a subset of R, we (...)
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  11.  28
    The Use of Functional Neuroimaging Technology in the Assessment of Loss and Damages in Tort Law.A. M. Viens - 2007 - American Journal of Bioethics 7 (9):63-65.
  12.  9
    Distributed optimization for degenerate loss functions arising from over-parameterization.Chi Zhang & Qianxiao Li - 2021 - Artificial Intelligence 301 (C):103575.
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  13.  15
    Parental bereavement and the loss of purpose in life as a function of interdependent self-construal.Jinhyung Kim & Joshua A. Hicks - 2015 - Frontiers in Psychology 6.
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  14.  7
    Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values.Fuad S. Al-Duais - 2021 - Complexity 2021:1-7.
    The essential objective of this research is to develop a linear exponential loss function to estimate the parameters and reliability function of the Weibull distribution based on upper record values when both shape and scale parameters are unknown. We perform this by merging a weight into LINEX to produce a new loss function called the weighted linear exponential loss function. Then, we utilized WLINEX to derive the parameters and reliability function of the (...)
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  15.  8
    A simple non-parametric method for eliciting prospect theory's value function and measuring loss aversion under risk and ambiguity.Pavlo Blavatskyy - 2021 - Theory and Decision 91 (3):403-416.
    Prospect theory emerged as one of the leading descriptive decision theories that can rationalize a large body of behavioral regularities. The methods for eliciting prospect theory parameters, such as its value function and probability weighting, are invaluable tools in decision analysis. This paper presents a new simple method for eliciting prospect theory’s value function without any auxiliary/simplifying parametric assumptions. The method is applicable both to choice under ambiguity (Knightian uncertainty) and risk (when events are characterized by objective probabilities). (...)
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  16.  9
    Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function.Fang Jia & Boli Yang - 2021 - Complexity 2021:1-13.
    Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is (...)
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  17. The Weight of Competence under a Realistic Loss Function.Stephan Hartmann & Jan Sprenger - 2010 - Logic Journal of the IGPL 18 (2):346-352.
    In many scientific, economic and policy-related problems, pieces of information from different sources have to be aggregated. Typically, the sources are not equally competent. This raises the question of how the relative weights and competences should be related to arrive at an optimal final verdict. Our paper addresses this question under a more realistic perspective of measuring the practical loss implied by an inaccurate verdict.
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  18.  26
    Relative utility of food rewards as a function of cyclic deprivation or body weight loss in albino rats.K. Edward Renner, Richard W. Cravens & O. W. Wooley - 1971 - Journal of Experimental Psychology 90 (1):102.
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  19.  5
    What the papers say: p53 Loss of Function: Implications for the Processes of Immortalization and Tumorigenesis.Cathy A. Finlay - 1992 - Bioessays 14 (8):557-560.
    The complex process of cell immortalization and transformation is likely to involve the inactivation of growth regulatory genes. Mutations (deletions, missense mutations) in the p53 gene are the most frequently observed genetic alteration in human tumors, making p53 a candidate for a cellular protein involved in the control of cell growth. Two recent studies have examined the role of p53 in immortalization and tumorigenesis(27,28). In the first study(27), p53 expression was examined in both mortal and immortal chick embryo fibroblasts. All (...)
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  20.  10
    Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions.Xiaoling Wang & Jinpeng Yu - 2021 - Complexity 2021:1-12.
    With the troubles of core losses and all-state confined to certain limitations which are the innate traits of permanent magnet synchronous motors, this article develops a command filtered adaptive backstepping approach to follow the track of PMSM’s desired rotor position. To begin with, the RBF neural network technique is utilized to get close to the uncharted nonlinear terms which existed in PMSM’s mathematical model. Meanwhile, an advanced adaptive command filter control methodology is constructed to avoid the computing explosion during the (...)
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  21.  52
    Loss Aversion and Bargaining.Jonathan Shalev - 2002 - Theory and Decision 52 (3):201-232.
    We consider bargaining situations where two players evaluate outcomes with reference-dependent utility functions, analyzing the effect of differing levels of loss aversion on bargaining outcomes. We find that as with risk aversion, increasing loss aversion for a player leads to worse outcomes for that player in bargaining situations. An extension of Nash's axioms is used to define a solution for bargaining problems with exogenous reference points. Using this solution concept we endogenize the reference points into the model and (...)
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  22.  7
    Death determination and donation after circulatory death: Can physicians reconcile cardiorespiratory death and irreversible loss of brain function?Ahmeneh Ghavam - 2021 - Clinical Ethics 16 (4):307-314.
    Declaration of cardiorespiratory death, as defined by the Uniform Determination of Death Act, requires irreversible cessation of circulatory and respiratory function. A physician’s ability to confidently declare death is paramount because death is both a biological and social construct, and can afford a dying patient the opportunity to be an organ donor via donation after circulatory death. Inconsistencies related to cardiorespiratory death and DCD include the specific language used in the UDDA, specifically the use of the word “irreversible”. Additionally, (...)
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  23.  81
    “Visualizing High-Dimensional Loss Landscapes with Hessian Directions”.Lucas Böttcher & Gregory Wheeler - forthcoming - Journal of Statistical Mechanics: Theory and Experiment.
    Analyzing geometric properties of high-dimensional loss functions, such as local curvature and the existence of other optima around a certain point in loss space, can help provide a better understanding of the interplay between neural network structure, implementation attributes, and learning performance. In this work, we combine concepts from high-dimensional probability and differential geometry to study how curvature properties in lower-dimensional loss representations depend on those in the original loss space. We show that saddle points in (...)
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  24.  25
    Explicit and Implicit Components of the Emotional Processing in Non-organic Vision Loss: Behavioral Evidence About the Role of Fear in Functional Blindness.Federica Scarpina, Lisa Melzi, Gianluca Castelnuovo, Alessandro Mauro, Stefania B. Marzoli & Enrico Molinari - 2018 - Frontiers in Psychology 9.
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  25.  30
    The fate of duplicated genes: loss or new function?Andreas Wagner - 1998 - Bioessays 20 (10):785-788.
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  26.  15
    A Robot Hand Testbed Designed for Enhancing Embodiment and Functional Neurorehabilitation of Body Schema in Subjects with Upper Limb Impairment or Loss.Randall B. Hellman, Eric Chang, Justin Tanner, Stephen I. Helms Tillery & Veronica J. Santos - 2015 - Frontiers in Human Neuroscience 9.
  27.  21
    Compliance to threat as a function of knowledge of the sources’ prior losses.Ronald L. Michelini - 1975 - Bulletin of the Psychonomic Society 5 (3):223-225.
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  28.  7
    Multicategory large margin classification methods: Hinge losses vs. coherence functions.Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li & Dit-Yan Yeung - 2014 - Artificial Intelligence 215 (C):55-78.
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  29. Should losses count? A critique of the complaint model.Alex Voorhoeve - 2006 - Choice Group Working Papers.
    The Complaint Model is an interpretation of Scanlon’s contractualism which holds that (1) an individual can reasonably reject a distribution of well-being when her complaint against that distribution is larger than any other person’s complaint against any other distribution. The Complaint Model further holds that (2) the size of an individual’s complaint against a distribution is a function of (2a) her absolute level of well-being under that distribution, with the size of her complaint increasing as her absolute level of (...)
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  30. Justice for climate loss and damage.Ivo Https://Orcidorg Wallimann-Helmer - 2015 - Climatic Change 133 (3):469–480.
    This paper suggests a way to elaborate the ethical implications of the Warsaw International Mechanism (WIM) as decided at COP 19 from the perspective of justice. It advocates three pro-posals. First, in order to fully understand the responsibilities and liabilities implied in the WIM, adaptation needs to be distinguished from loss and damage (L&D) on the basis of the different goals which should be attributed to adaptation and to L&D approaches. Second, the primary concern of the WIM should be (...)
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  31.  44
    Intrinsic losses.Christian P. Robert - 1996 - Theory and Decision 40 (2):191-214.
    Since the choice of a particular loss function strongly influences the resulting inference, it seems necessary to rely on “intrinsic” losses when no information is available about the utility function of the decision-maker, rather than to call for classical losses like the squared error loss. Since this setting is quite similar to the derivation of noninformative priors in Bayesian analysis, we first recall the conditions of this derivation and deduce from these conditions some requirements on the (...)
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  32.  10
    Beyond loss: An essay about presence and sparkling moments based on observations from life coexisting with a person living with dementia.Janne B. Damsgaard, Jette Lauritzen, Charlotte Delmar & Monica E. Kvande - 2024 - Nursing Philosophy 25 (1):e12425.
    This is an essay based on a story with observations, about present and sparkling moments from everyday life coexisting with a mother living with dementia. The story is used to begin philosophical underpinnings reflecting on ‘how it could be otherwise’. Dementia deploys brutal existential experiences such as cognitive deterioration, decline in mental functioning and often hurtful social judgements. The person living with dementia goes through transformation and changes of self. Cognitive decline progressively disrupts the foundations upon which social connectedness is (...)
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  33. Experience as Evidence: Pregnancy Loss, Pragmatism, and Fetal Status.Amanda Roth - 2018 - Journal of Social Philosophy 49 (2):270-293.
    In this paper I take up (what I call) the pregnancy loss objection to defenses of abortion that deny fetal moral status. Though versions of this objection have been put forth by others—particularly Lindsey Porter’s in a 2015 paper—I argue that the existing versions of the objection are unsuccessful in various ways: failing to explain the ground of moral considerability that would apply to embryos/fetuses in very early pregnancy, lack of clarity about what it means to take grief after (...)
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  34.  62
    Function and teleology.Morton Beckner - 1969 - Journal of the History of Biology 2 (1):151-164.
    The view of teleology sketched in the above remarks seems to me to offer a piece of candy to both the critics and guardians of teleology. The critics want to defend against a number of things: the importation of unverifiable theological or metaphysical doctrines into the sciences; the idea that goals somehow act in favor of their won realization; and the view that biological systems require for their study concepts and patterns of explanation unlike anything employed in the physical sciences. (...)
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  35.  81
    Two arguments for the etiological theory over the modal theory of biological function.Brian Leahy & Maximilian Huber - 2017 - Synthese 194 (4).
    This paper contains a positive development and a negative argument. It develops a theory of function loss and shows how this undermines an objection raised against the etiological theory of function in support of the modal theory of function. Then it raises two internal problems for the modal theory of function.
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  36.  38
    Spacetime: function and approximation.Sam Baron - 2022 - Synthese 200 (2).
    Several approaches to quantum gravity signal the loss of spacetime at some level. According to spacetime functionalism, spacetime is functionally realised by a more fundamental structure. According to one version of spacetime functionalism, the spacetime role is specified by Ramsifying general relativity. In some approaches to QG, however, there does not appear to be anything that exactly realises the functional role defined by a Ramsey sentence for GR. The spacetime role is approximately realised. It is open to the spacetime (...)
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  37. Deception: a functional account.Marc Artiga & Cédric Paternotte - 2018 - Philosophical Studies 175 (3):579-600.
    Deception has recently received a significant amount of attention. One of main reasons is that it lies at the intersection of various areas of research, such as the evolution of cooperation, animal communication, ethics or epistemology. This essay focuses on the biological approach to deception and argues that standard definitions put forward by most biologists and philosophers are inadequate. We provide a functional account of deception which solves the problems of extant accounts in virtue of two characteristics: deceptive states have (...)
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  38.  45
    On probabilities and loss aversion.Horst Zank - 2010 - Theory and Decision 68 (3):243-261.
    This paper reviews the most common approaches that have been adopted to analyze and describe loss aversion under prospect theory. Subsequently, it is argued that loss aversion is a property of observable choice behavior and two new definitions of loss averse behavior are advocated. Under prospect theory, the new properties hold if the commonly used utility based measures of loss aversion are corrected by a probability based measure of loss aversion and their product exceeds 1. (...)
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  39.  37
    Knowledge and Asymmetric Loss.Alexander Dinges - 2023 - Review of Philosophy and Psychology 14 (3):1055-1076.
    This paper offers a novel account of practical factor effects on knowledge attributions that is consistent with the denial of contextualism, relativism and pragmatic encroachemt. The account goes as follows. Knowledge depends on factors like safety, reliability or probability. In many cases, it is uncertain just how safe, how reliably formed or how probable the target proposition is. This means that we have to estimate these quantities in order to form knowledge judgements. Such estimates of uncertain quantities are independently known (...)
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  40. The functional neuroanatomy of awareness: With a focus on the role of various anatomical systems in the control of intermodal attention.John Smythies - 1997 - Consciousness and Cognition 6 (4):455-81.
    This review considers a number of recent theories on the neural basis of consciousness, with particular attention to the theories of Bogen, Crick, Llinás, Newman, and Changeux. These theories allot different roles to various key brain areas, in particular the reticular and intralaminar nuclei of the thalamus and the cortex. Crick's hypothesis is that awareness is a function of reverberating corticothalamic loops and that the spotlight ofintramodalattention is controlled by the reticular nucleus of the thalamus. He also proposed different (...)
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  41.  9
    Expected return—expected loss approach to optimal portfolio investment.Pavlo Blavatskyy - 2022 - Theory and Decision 94 (1):63-81.
    Standard models of portfolio investment rely on various statistical measures of dispersion. Such measures favor returns smoothed over all states of the world and penalize abnormally low as well as abnormally high returns. A model of portfolio investment based on the tradeoff between expected return and expected loss considers only abnormally low returns as undesirable. Such a model has a comparative advantage over other existing models in that a first-order stochastically dominant portfolio always has a higher expected return and (...)
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  42.  8
    Probability weighting for losses and for gains among smallholder farmers in Uganda.Arjan Verschoor & Ben D’Exelle - 2020 - Theory and Decision 92 (1):223-258.
    Probability weighting is a marked feature of decision-making under risk. For poor people in rural areas of developing countries, how probabilities are evaluated matters for livelihoods decisions, especially the probabilities associated with losses. Previous studies of risky choice among poor people in developing countries seldom consider losses and do not offer a refined tracking of the probability-weighting function. We investigate probability weighting among smallholder farmers in Uganda, separately for losses and for gains, using a method that allows refined tracking (...)
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  43. Visualizing high-dimensional loss landscapes with Hessian directions.Gregory Wheeler & Lucas Böttcher - manuscript
    Analyzing geometric properties of high-dimensional loss functions, such as local curvature and the existence of other optima around a certain point in loss space, can help provide a better understanding of the interplay between neural network structure, implementation attributes, and learning performance. In this work, we combine concepts from high-dimensional probability and differential geometry to study how curvature properties in lower-dimensional loss representations depend on those in the original loss space. We show that saddle points in (...)
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  44.  6
    Circle-Based Ratio Loss for Person Reidentification.Zhao Yang, Jiehao Liu, Tie Liu, Li Wang & Sai Zhao - 2020 - Complexity 2020:1-11.
    Person reidentification aims to recognize a specific pedestrian from uncrossed surveillance camera views. Most re-id methods perform the retrieval task by comparing the similarity of pedestrian features extracted from deep learning models. Therefore, learning a discriminative feature is critical for person reidentification. Many works supervise the model learning with one or more loss functions to obtain the discriminability of features. Softmax loss is one of the widely used loss functions in re-id. However, traditional softmax loss inherently (...)
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  45. Bézier Function Smooth Support Vector Regression.Q. Wu & En Wang - 2015 - ICIC Express Letters, Part B: Applications 6 (7).
    Smooth function is the essence of the ε-smooth support vector regression (ε-SSVR) which is an unconstrained convex quadratic programming. In this paper, Bézier function as a new smooth function is proposed to replace the ε-insensitive loss function of ε-SSVR with tolerating a smaller error in fitting given data sets linearly and nonlinearly. The ε-Bézier function smooth support vector regression (ε-BSSVR) model is presented. Theoretical analyses show that the derived smooth function has improved approximation (...)
     
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  46.  71
    Vague expectation value loss.Bas Fraassen - 2006 - Philosophical Studies 127 (3):483 - 491.
    Vague subjective probability may be modeled by means of a set of probability functions, so that the represented opinion has only a lower and upper bound. The standard rule of conditionalization can be straightforwardly adapted to this. But this combination has difficulties which, though well known in the technical literature, have not been given sufficient attention in probabilist or Bayesian epistemology. Specifically, updating on apparently irrelevant bits of news can be destructive of one’s explicitly prior expectations. Stability of vague subjective (...)
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  47.  28
    Preventing summer reading loss for students in poverty: a comparison of tutoring and access to books.Sherry Mee Bell, Yujeong Park, Melissa Martin, Jamie Smith, R. Steve McCallum, Kelly Smyth & Maya Mingo - 2019 - Educational Studies 46 (4):440-457.
    The purpose of this study was to determine if reading achievement of students from high-poverty US schools differs as a function of participation in summer tutoring versus access to books. Data fro...
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  48.  25
    Iconoclasm: The loss of iconic image in art and visual communication.Nagla Samir - 2013 - Technoetic Arts 11 (3):335-341.
    Why is the urge to lose the iconic image relevant to reformation and modernism? A question so central in a society built more than ever on visual media dependency. Is that relevant to sceptical questioning of the essence of reality, and if the image is a reflection of reality in the era of new technology of image creating and manipulating? As iconoclasts began deliberately destroying images at the alter as a sign of reformation, modern art was no longer bound by (...)
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  49.  12
    JPMorgan's 'London Whale' Trading Losses: A Tale of Human Fallibility.Lisa Warenski - 2024 - In Joakim Sandberg & Lisa Warenski (eds.), The Philosophy of Money and Finance. Oxford, UK: Oxford University Press. pp. 129-47.
    Good epistemic practices are essential to the well-functioning of organizations. Epistemic practices are adopted norms, policies, procedures, and general methodologies that further our epistemic aims or realize our epistemic values. This chapter argues for the importance of organizational good epistemic practices through an analysis of the failures of risk management implicated in JPMorgan’s notorious ‘London Whale’ trading losses, which roiled the financial markets in 2012. A number of these failures of risk management exemplified ways in which we, as fallible reasoners, (...)
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  50. The myth of cognitive agency: subpersonal thinking as a cyclically recurring loss of mental autonomy.Thomas Metzinger - 2013 - Frontiers in Psychology 4:931.
    This metatheoretical paper investigates mind wandering from the perspective of philosophy of mind. It has two central claims. The first is that, on a conceptual level, mind wandering can be fruitfully described as a specific form of mental autonomy loss. The second is that, given empirical constraints, most of what we call “conscious thought” is better analyzed as a subpersonal process that more often than not lacks crucial properties traditionally taken to be the hallmark of personal-level cognition - such (...)
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