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Record W4386693692 · doi:10.1075/pl.23001.huc

A course of free voluntary reading on linguistic principles for average to below-average writers in university

2023· article· en· W4386693692 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePedagogical Linguistics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsYork University
Fundersnot available
KeywordsFluencyReading (process)Mathematics educationPerspective (graphical)LinguisticsForeign languagePsychologyPedagogyComputer scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This article describes an experiment in pedagogy for general writing improvement at the university level consisting of a course of Free Voluntary Reading (FVR), which can be offered either independently of or together with standard courses on writing. Evidence so far supporting the efficacy of FVR in helping students to improve their writing skills has largely come from the K-12 grades and university-age foreign language students, so whether it would prove useful for university students in general is open to question. A linguistic perspective is adopted, which entails a methodology for the experiment that differs in major respects from that which is typical in composition studies. The results of the experiment showed that a course of FVR, independently of instruction in writing, may be effective in improving university students’ grammatical fluency in writing.

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)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
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)0.0000.000

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 head0.136
GPT teacher head0.394
Teacher spread0.258 · 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