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Record W2655825240 · doi:10.3758/s13423-017-1333-5

Mind, rationality, and cognition: An interdisciplinary debate

2017· article· en· W2655825240 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.

Bibliographic record

VenuePsychonomic Bulletin & Review · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsUniversity of Toronto
FundersEconomic and Social Research CouncilEngineering and Physical Sciences Research CouncilUniversity of Oxford
KeywordsRationalityHeuristicsPsychologyEcological rationalitySituational ethicsPerceptionEpistemologyCognitionGreat Rationality DebateArgument (complex analysis)Bounded rationalityCognitive scienceCognitive psychologySocial psychologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

This paper features an interdisciplinary debate and dialogue about the nature of mind, perception, and rationality. Scholars from a range of disciplines—cognitive science, applied and experimental psychology, behavioral economics, biology and physiology—offer critiques and commentaries of a target article by Felin, Koenderink and Krueger (2017), “Rationality, perception, and the all-seeing eye,” Psychonomic Bulletin and Review. The commentaries raise a number of criticisms and issues about rationality and the all-seeing eye argument, including: the nature of judgment and reasoning, biases versus heuristics, organism-environment relations, perception and situational construal, equilibrium analysis in economics, efficient markets, and the nature of empirical observation and the scientific method. The debated topics have far-reaching consequences for the rationality literature specifically and the cognitive, psychological and economic sciences more broadly. The commentaries are followed by a response by the authors of the target article. The response is organized around three central issues: 1) the problem of cues, 2) what is the question? and 3) equilibria, $500 bills, and the axioms of rationality.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.006

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 head0.222
GPT teacher head0.505
Teacher spread0.283 · 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