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Record W2290866021 · doi:10.18806/tesl.v32i0.1217

The Relationship Between Lexical Frequency Profiling Measures and Rater Judgements of Spoken and Written General English Language Proficiency on the CELPIP-General Test

2016· article· en· W2290866021 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTESL Canada Journal · 2016
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyVocabularyTest (biology)LinguisticsProfiling (computer programming)Lexical densityStandardized testLanguage proficiencyLexical itemCognitive psychologyComputer scienceMathematics education

Abstract

fetched live from OpenAlex

Independent confirmation that vocabulary in use unfolds across levels of performance as expected can contribute to a more complete understanding of validity in standardized English language tests. This study examined the relationship between Lexical Frequency Profiling (LFP) measures and rater judgements of test-takers’ overall levels of performance in the Speaking and Writing modules of the CELPIP-General test. In particular, the potential of measures such as lexical stretch and number of frequency bands accessed was examined. Randomized quota sampling from previously rated test-taker responses resulted in 200 speaking samples and 200 writing samples being compiled to create corpora of 211,602 running words and 70,745 running words respectively. Pearson r was used to examine the relationships between the LFP measures and rater judgements of CELPIP levels. Results point to significant correlations, with increasing CELPIP levels of performance generally accompanied by test-takers’ increasing ability to produce greater numbers of words, deploy a greater variety of words, rely less on high-frequency vocabulary, tap into mid-frequency vocabulary, and access a greater number of frequency bands. These results underline the contribution of independently obtained lexical measures toward a fuller understanding of concurrent validity in standardized English language proficiency testing. La confirmation indépendante que le vocabulaire d’usage se répand sur plusieurs niveaux de performance tel que prévu peut contribuer à une meilleure interpréta- tion de la validité des tests standardisés de langue anglaise. Ce e étude a examiné le rapport entre les mesures de profilage de la fréquence lexicale et les évalua- tions de la performance globale des élèves aux modules de parole et de rédaction du Programme canadien d’évaluation du niveau de compétence linguistique en anglais (CELPIP). Plus précisément, on a examiné le potentiel des mesures telles l’étendue lexicale et le nombre de bandes de fréquences a eintes. L’échantillon- nage par quota aléatoire de réponses d’élèves déjà évaluées a entrainé la formation de 200 échantillons de parole et 200 échantillons de rédaction représentant deux corpora, un de 211 602 mots liés et l’autre de 70 745 mots liés. On a employé le coe cient de corrélation de Pearson pour examiner les rapports entre les mesures de la fréquence lexicale et les évaluations en fonction des niveaux du CELPIP. Les résultats dévoilent des corrélations signi catives entre, d’une part, les meilleures performances au CELPIP et, d’autre part, une capacité à produire une quantité et une variété plus importantes de mots; à moins recourir aux mots les plus fréquents; à puiser dans du vocabulaire à fréquence moyenne; et à accéder à un plus grand nombre de bandes de fréquence. Ces résultats soulignent la contribution des mesures lexicales obtenues indépendamment à la compréhension de la validité concourante des évaluations standardisées des compétences linguistiques en anglais.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.033
GPT teacher head0.288
Teacher spread0.254 · 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