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Record W577578380 · doi:10.1075/lllt.15

Goals for Academic Writing

2006· book· en· W577578380 on OpenAlexaboutno aff
Alister Cumming

Bibliographic record

VenueLanguage learning and language teaching · 2006
Typebook
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsReport writingMathematics educationComputer sciencePsychologyLibrary science

Abstract

fetched live from OpenAlex

This book documents the results of a multi-year project that investigated the goals for writing improvement among 45 students and their instructors in intensive courses of English as a Second Language (ESL) then, a year later, in academic programs at two Canadian universities. The researchers present a detailed framework to describe these goals from the perspectives of the students as well as their instructors. The goals are analyzed for groups of students from particular backgrounds internationally, for changes over time, and in relation to the ESL and academic courses. The authors use activity theory, goal theory, various sociolinguistic concepts, and multiple data sources (interviews, observations, stimulated recalls, questionnaires, and text analyses) to provide a contextually-grounded perspective on learning, teaching, writing, second-language development, and curriculum policy. The book will interest researchers, educators, and administrators of ESL, university, college, and literacy programs around the world.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.005

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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations85
Published2006
Admission routes1
Has abstractyes

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