MétaCan
Menu
Back to cohort
Record W4311408218 · doi:10.16995/glossa.8582

Production benefits recall of novel words with frequent, but not infrequent sound patterns

2022· article· en· W4311408218 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlossa a journal of general linguistics · 2022
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British ColumbiaDalhousie UniversityUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaAgencia Nacional de Investigación y Desarrollo
KeywordsRecallContrast (vision)Speech productionSpeech soundPsychologyProduction (economics)PhonologyFirst languageCognitionSound (geography)LinguisticsSpeech recognitionAudiologyCognitive psychologyComputer scienceAcousticsArtificial intelligenceMedicine

Abstract

fetched live from OpenAlex

The production effect is influenced by various factors, including cognitive and linguistic-related variables. Previous studies found that the production effect varies when stimuli have native versus non-native speech sounds, but to date, no studies have investigated whether the effect is also modulated by the frequency of sound patterns within a language. Adults were taught novel words in two training conditions: Produced or Heard. These items were comprised of English sound patterns that varied in frequency. Participants trained on frequent English patterns recalled more Produced than Heard items. In contrast, participants trained on infrequent English patterns showed no difference in recall rates between conditions. The strength and direction of the production effect is modulated not only by native versus non-native speech sounds, but can also vary depending on the frequency of the sound patterns within a speaker’s native language. Thus, the production effect is linked to previously established, long-term phonological knowledge.

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)0.001
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 score0.497
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.039
GPT teacher head0.299
Teacher spread0.260 · 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