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Record W4393529042 · doi:10.1017/s0142716424000109

Effects of speech production training on memory across short and long delays in 5- and 6-year-olds: A pre-registered study

2024· article· en· W4393529042 on OpenAlexafffund
Belén López Assef, Margarethe McDonald, Amélie Bernard, Tania S. Zamuner

Bibliographic record

VenueApplied Psycholinguistics · 2024
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Ottawa
FundersAgencia Nacional de Investigación y DesarrolloUniversity of Ottawa
KeywordsTraining (meteorology)Production (economics)Speech productionAudiologyPsychologySpeech recognitionComputer scienceMedicineGeographyEconomics

Abstract

fetched live from OpenAlex

Abstract Studies on the role of speech production on learning have found a memory benefit from production labeled the “Production Effect.” While research with adults has generally shown a robust memory advantage for produced words, children show more mixed results, and the advantage is affected by age, cognitive, and linguistic factors. With adults, the Production Effect is not restricted to the immediate context but is also found after a delay. So far, no studies have investigated the effect of delayed recall on the Production Effect with children. Children aged 5 and 6 years old ( n = 60) participated in two sessions. Children were trained on familiar words and images, which were heard ( Listen ) or produced aloud ( Say ). Children then performed a free recall task. One week later, children repeated the recall task and an additional recognition task. At immediate testing, there was a recency effect on words recalled from the different training conditions and a recall advantage for words produced over words heard; however, this no longer held after a 1-week delay in either the recall or recognition task. Exploratory analysis showed that vocabulary did not predict the Production Effect. Findings indicate that unlike adults, the Production Effect is not as robust in children after a delay.

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)0.000
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 score0.881
Threshold uncertainty score0.811

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 head0.029
GPT teacher head0.354
Teacher spread0.325 · 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 designObservational
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

Citations2
Published2024
Admission routes2
Has abstractyes

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