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Record W4393251375 · doi:10.20982/tqmp.20.1.r001

Articulatory rehearsal and phonological storage in working memory: A replication of Longoni et al. (1993)

2024· article· en· W4393251375 on OpenAlexaff
Camille Couture, Charles Veilleux, Susana Chinhama, Olivia Jacot de Boinod, Britanny Payment, Tracy Husereau, Élodie Ouellette

Bibliographic record

VenueThe Quantitative Methods for Psychology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsReplication (statistics)Working memoryComputer sciencePsychologyCognitive psychologyMathematicsCognition

Abstract

fetched live from OpenAlex

This study sought to replicate Longoni et al.'s (1993) investigation into the multiple subsystems within the phonological loop, originally proposed by Baddeley et al. (1984). To address the replicability crisis in scientific research, this replication maintains similar methodologies but also features a more diverse sample, characterized solely by advanced French proficiency and increased participant numbers. In addition, this study examined various characteristics of the phonological loop, including the phonemic similarity effect, word length effect, presentation conditions, articulatory suppression effect, and irrelevant sounds. However, the articulatory suppression effect, word length effect, presentation speed effect, and delay effect did not replicate. Notably, an interaction emerged between word length and phonemic similarity, indicating a multiplicative relationship rather than an additive one. The present study emphasizes the importance of further exploration into the factors that influence the non-replicated effects, including the discriminant validity of the variables. Future studies could leverage insights from the phonological loop's characteristics to enhance understanding of the working memory system.

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)0.003
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 score0.298
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.220
GPT teacher head0.531
Teacher spread0.310 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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