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Record W2026786187 · doi:10.1080/09658210344000369

Word frequency effects in immediate serial recall: Item familiarity and item co‐occurrence have the same effect

2004· article· en· W2026786187 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

VenueMemory · 2004
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPsychologyRecallCognitive psychologySerial position effectWord (group theory)Free recallWord lists by frequencySocial psychologyNatural language processingLinguisticsSentenceComputer science

Abstract

fetched live from OpenAlex

In immediate serial recall, high-frequency words are better recalled than low-frequency words. A prevalent interpretation of this effect suggests that, at the point of recall, degraded representations undergo a reconstruction process calling upon long-term knowledge of the to-be-remembered items. Recently, Stuart and Hulme (2000) following Deese (1960), suggested that high-frequency items are better recalled due to their better long-term associative links. Their results revealed that a familiarisation procedure involving repeated presentations of the to-be-remembered items in pairs abolished the usual frequency effect. In the experiment reported here, an alternative interpretation of this result is examined. Prior to the memory task, subjects received either no familiarisation, item familiarisation, or pair familiarisation. Both item and pair familiarisation improved the item recall of low-frequency items to the same extent, suggesting that increased familiarity can account for the co-occurrence effect.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0010.000
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 head0.022
GPT teacher head0.280
Teacher spread0.258 · 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