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Record W2039246849 · doi:10.1075/pc.18.1.07rut

On the use and misuse of the “Two Children” brainteaser

2010· article· en· W2039246849 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

VenuePragmatics & Cognition · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCognitionIllusionPsychologyComputer scienceEpistemologyCognitive scienceCognitive psychology

Abstract

fetched live from OpenAlex

Cognitive scientists employ brainteasers, or “cognitive illusions” in service of cognitive research. In some cases, rewording or paraphrasing a question can change the correct answer, without the experimenter realizing. In recent published articles describing cognitive research, participants have pondered brainteasers, including what is here called the “Two Children” problem. Although many accounts of this problem in the academic literature navigate its nuances correctly, in the popular press it is usually presented such that the wording of the question does not actually compel the answer that is offered as correct. Unfortunately, cognitive scientists who have used this problem in research have adopted the more informal and ambiguous version that has become common in the popular press. Recent experiments have used the problem to demonstrate that people make common intuitive errors, but they unfortunately employ an ambiguous form of the question and the answer to the problem is not determinate, as they imply.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.285
Teacher spread0.257 · 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