MétaCan
Menu
Back to cohort
Record W2036518986 · doi:10.1080/2153599x.2012.672816

Understanding the memory advantage of counterintuitive concepts

2012· article· en· W2036518986 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

VenueReligion Brain & Behavior · 2012
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsCounterintuitiveRecallComputer scienceCognitive psychologyReading (process)PsychologyEpistemology

Abstract

fetched live from OpenAlex

Abstract Previous work suggests that concepts that are only slightly counterintuitive are more memorable than concepts that are intuitive or overly counterintuitive (Boyer, 1994; Boyer & Ramble, 2001), although causes for this memory advantage have been debated (Barrett, 2008; Upal, 2009). We conducted four experiments to better understand the cognitive processes that underlie memory for counterintuitive concepts by recording both reading time and recall of intuitive and counterintuitive statements. Experiments 1 and 2 suggested that additional time spent processing material facilitates memory performance, even if that material is intuitive. However, the results from Experiments 3 and 4 indicate that time alone does not account for the memory advantage previously observed. The implications of the results are discussed.

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)0.000
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 score0.607
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.073
GPT teacher head0.362
Teacher spread0.289 · 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