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Record W2298851760 · doi:10.1177/0963721415617806

Breaking the Fourth Wall of Cognitive Science

2016· article· en· W2298851760 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Directions in Psychological Science · 2016
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsUniversity of British ColumbiaUniversity of Waterloo
FundersUniversity of WaterlooSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsPsychologyGeneralizability theoryCognitionNaturalismGazeFunction (biology)Social cognitionCognitive psychologyCognitive scienceDual (grammatical number)Process (computing)Naturalistic observationNatural (archaeology)Social psychologyEpistemologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Research in cognitive science typically places a boundary between participants and the stimuli they are asked to process. While this separation affords experimental control, it can also severely limit the generalizability of the conclusions that are drawn. Here, we review new evidence that some conclusions that have been drawn about social attention do not extend beyond the laboratory. They fundamentally misrepresent how social attention operates in natural social contexts. Critically, these difficulties have led to renewed interest in the dual function of gaze—when in authentic social situations, the eyes both collect information from the environment (an encoding function) and communicate one’s mental states to others (a signaling function)—which traditional social-attention paradigms arguably have failed to capture. We review this recent work and discuss the utility of adopting more naturalistic methods in cognitive science.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.140
GPT teacher head0.443
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it