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Record W4284893883 · doi:10.1037/cep0000288

Source reinstatement in item-method directed forgetting influences recognition strategies.

2022· article· en· W4284893883 on OpenAlexafffund
Kathleen L. Hourihan

Bibliographic record

VenueCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · 2022
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMotivated forgettingForgettingPsychologyRecallRetrieval-induced forgettingTest (biology)Context (archaeology)Encoding (memory)Cognitive psychologyRecall testCued speechRecognition memoryFree recallCognition

Abstract

fetched live from OpenAlex

In item-method directed forgetting, participants study items paired with instructions to either remember or forget each item for the purpose of an upcoming memory test. Such instructions are effective, in that participants recall or recognize more remember- than forget-cued items when asked to disregard the cues at test. Recent research has shown that context and source information associated with targets at encoding are not subject to any influence of directed forgetting, such that both remember and forget items benefit equivalently from context reinstatement at test. In the present study, remember and forget items were presented by two sources, one of which presented mostly remember items and one of which presented mostly forget items. When the sources were reinstated at recognition, participants displayed more liberal responding to the mostly-remember source, such that item discriminability was actually worse compared to the mostly-forget source. When source information is reinstated at test, participants use their knowledge about the sources heuristically when making recognition judgements. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.355
Teacher spread0.276 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

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