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Record W2413287171 · doi:10.1037/cep0000092

Auditory presentation at test does not diminish the production effect in recognition.

2016· article· en· W2413287171 on OpenAlexafffund
Noah D. Forrin, Colin M. MacLeod

Bibliographic record

VenueCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · 2016
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOptimal distinctiveness theoryTest (biology)PsychologyPresentation (obstetrics)Production (economics)Cognitive psychologyAffect (linguistics)Modality (human–computer interaction)PronunciationSpeech recognitionAudiologyCommunicationComputer scienceSocial psychologyLinguisticsArtificial intelligence

Abstract

fetched live from OpenAlex

Three experiments investigated whether auditory information at test would undermine the relational distinctiveness of vocal production at study, diminishing the production effect. In Experiment 1, with visual presentation during study, the production effect was equivalently large regardless of whether participants read each test word out loud prior to making their recognition decision. In Experiment 2, incorporating auditory presentation during study, the production effect was unaltered by whether recognition test words were presented visually or auditorily. In Experiment 3, the authors manipulated whether presentation was visual or auditory both at study and at test. Once again, presentation modality at test did not affect the size of the production effect, although the effect was significantly smaller when words were presented auditorily at study. These experiments demonstrate that production at the time of study stands out as distinct above and beyond auditory information. Moreover, this distinct aloud information need not "stand out" against a background of silent unstudied words on a recognition test. Consistent with the distinctiveness account, encoding via production enhances later recognition consistently, regardless of study or test modality. (PsycINFO Database Record

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)0.001
metaresearch head score (Gemma)0.002
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 score0.020
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.057
GPT teacher head0.320
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2016
Admission routes2
Has abstractyes

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