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Record W4308317596 · doi:10.52843/cassyni.ldb6j9

Morphology matters, or Do you need to teach affixes?

2022· preprint· en· W4308317596 on OpenAlexaff
Elizaveta Tarasova, Natalia Beliaeva

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsAccess Alliance Multicultural Health and Community Services
Fundersnot available
KeywordsVocabularyCurriculumMathematics educationRelation (database)PsychologyFocus (optics)Qualitative analysisMorphology (biology)Work (physics)LinguisticsQualitative researchComputer sciencePedagogySociologySocial science

Abstract

fetched live from OpenAlex

The presented research investigates the role of morphological complexity (with the focus on derived forms, e.g. 'player' rather than inflected ones, e.g. 'plays', in academic writing through the analysis of written work produced by ten students over the course of their EAP studies in IPU New Zealand. The study is aimed at analyzing the relationship between the accurate use of morphologically complex vocabulary in students' written assessments and the grades that they received for their work. The quantitative analysis indicates that there is a relation between the grade and morphological derivational complexity. The qualitative analysis of individual students’ work further explores the noted trends to investigate what types of complex words are most commonly used at different levels of language proficiency. The analysis is based on Bauer and Nation’s (1993) system of seven word-family levels to establish the appropriate expectations with regard to the level of morphological awareness for learners who are preparing for undergraduate study. The results of the analysis can be used as the basis of recommendations to EAP practitioners and EAP curriculum developers.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.319
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1760.000

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 head0.266
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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Same topicLexicography and Language StudiesFrench-language works237,207