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Record W2107395166 · doi:10.1037//0278-7393.26.2.267

Evidence for a generate-recognize model of episodic influences on word-stem completion.

2000· article· en· W2107395166 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

VenueJournal of Experimental Psychology Learning Memory and Cognition · 2000
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsUniversity of CalgaryUniversity of Victoria
Fundersnot available
KeywordsEncoding (memory)Computer scienceDissociation (chemistry)Multinomial distributionCognitive psychologyTask (project management)Word (group theory)Natural language processingArtificial intelligencePsychologyLinguisticsMathematicsStatistics

Abstract

fetched live from OpenAlex

Application of the process-dissociation procedure has shown that conceptual encoding episodes do not lead to automatic influences of memory on purportedly data-driven indirect tests of memory. Using 2 variants of the process-dissociation procedure with the word-stem completion task, the procedure is shown to underestimate automatic influences of memory when prior encoding includes a conceptual component. The underestimation is attributed to an awareness of past occurrence that is particularly likely with conceptually encoded items. This effect occurs even in the absence of the signature of a generate-recognize strategy and suggests that prior conceptual encoding may contribute to automatic influences of memory in stem completion. A multinomial generate-recognize model is presented that fits these results and previous results typically taken as support for the assumption that controlled and automatic influences of memory are independent.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.495

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)0.0000.000

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 head0.206
GPT teacher head0.394
Teacher spread0.188 · 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