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Record W4405906283 · doi:10.1037/cep0000362

Comparing the effectiveness of encoding techniques on memory for vocabulary in a second language.

2024· article· en· W4405906283 on OpenAlexafffund
Sophia Tran, Myra A. Fernandes

Bibliographic record

VenueCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · 2024
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEncoding (memory)VocabularyComputer scienceNatural language processingLinguisticsArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

We compared the effectiveness of encoding techniques in learning a character-based language. During an encoding phase, participants naive to Korean were shown 40 English-Korean word pairs in Experiment 1 (80 in Experiment 2) and asked to either repeat aloud (produce) the Korean pronunciation or copy the image of the Korean character. Recognition was later assessed in two ways: On an auditory test, participants selected the correct pairing from two audio clips of Korean words, and on a visual test, they selected the correct pairing from among two visually presented Korean characters. In both experiments, copying Korean characters led to higher performance overall. Notably, we also found an interaction such that memory was higher on the auditory test when encoding required production and better on the visual test when encoding required copying. Results suggest that matching the encoding and retrieval test modality maximizes performance. (PsycInfo Database Record (c) 2025 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)0.003
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 score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.355
Teacher spread0.317 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentaleSame topicSecond Language Acquisition and LearningFrench-language works237,207