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Record W4407179463 · doi:10.1017/s0272263125000075

The impact of collocational proficiency features on expert ratings of L2 English learners’ writing

2025· article· en· W4407179463 on OpenAlexfundno aff
Ben Naismith, Alan Juffs

Bibliographic record

VenueStudies in Second Language Acquisition · 2025
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLinguisticsPsychologyLanguage proficiencyLanguage assessmentMathematics educationPhilosophy

Abstract

fetched live from OpenAlex

Abstract Lexical proficiency is a multifaceted phenomenon that greatly impacts human judgments of writing quality. However, the importance of collocations’ contribution to proficiency assessment has received less attention than that of single words, despite collocations’ essential role in language production. This study, therefore, investigated how aspects of collocational proficiency affect the ratings that examiners give to English learner essays. To do so, collocational features related to sophistication and accuracy were manipulated in a set of argumentative essays. Examiners then rated the texts and provided rationales for their choices. The findings revealed that the use of lower-frequency words significantly and positively impacted the experts’ ratings. When used as part of collocations, such words then provided a small yet significant additional boost to ratings. Notably, there was no significant effect for increased collocational accuracy. These findings suggest that low-frequency words within collocations are particularly salient to examiners and deserving of pedagogic focus.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.402
Teacher spread0.384 · 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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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