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Record W1640119991

The Effect of Synonym Relationship Upon the Acquisition of Multi-Dimensional Vocabulary Knowledge

2015· article· en· W1640119991 on OpenAlexvenueno aff
Kaihua Nie

Bibliographic record

VenueStudies in literature and language · 2015
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsSyntagmatic analysisVocabularyOrthographyLinguisticsAssociation (psychology)AffixWord AssociationSentenceSynonym (taxonomy)PsychologyMeaning (existential)Computer scienceWord (group theory)Natural language processingCognitive psychologyArtificial intelligenceReading (process)Biology
DOInot available

Abstract

fetched live from OpenAlex

Based on Nation’s framework of multi-dimensional vocabulary knowledge, this study designed a multi-dimensional vocabulary knowledge test and examined the effect of word pair and sentence with and without synonyms on the acquisition of the multi-dimensional vocabulary knowledge of target words with respect to orthography, meaning and form, grammatical function syntagmatic association and paradigmatic association. Experiment results indicated that the participants obtained significant more scores for the target words with known high frequency synonyms than for those without known synonyms in terms of the receptive vocabulary knowledge of syntagmatic association and orthography and the productive vocabulary knowledge of paradigmatic association. Hence it can be concluded that the known synonyms might be conducive to the acquisition of the unknown synonyms. Implications of the results were discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.226

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 integrity0.0000.000
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 head0.030
GPT teacher head0.372
Teacher spread0.343 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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