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Record W4239111458 · doi:10.18806/tesl.v31i2.1173

A Word from the Editor

2014· article· en· W4239111458 on OpenAlexaffvenueabout
Marian J. Rossiter

Bibliographic record

VenueTESL Canada Journal · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsThinkpath Engineering Services (Canada)
Fundersnot available
KeywordsWord (group theory)LinguisticsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

This is the 30th anniversary of the TESL Canada Journal, which was established in 1984 and has published a wide range of articles of relevance to the teaching of English as a second language since then.Now is, therefore, an appropriate time to express appreciation to all the journal staff members (editors, reviewers, and others without whom the journal would not be possible), as well as to all those who have made the journal such a success over the years.In this Spring 2014 issue, we continue to offer a range of articles of relevance to teacher educators, ESL instructors and learners, academics, researchers, and graduate students within and beyond Canada.Caroline Payant's research article on the incorporation of video-mediated reflective tasks in MATESOL programs will be of interest to teacher educators and the preservice and in-service teachers in their programs, native-and non-native speakers alike.Kent Lee and Leila Ranta's article on the use of Facebook by international students offers insights into the relationship between social media and Canadian and other post-secondary students; it also provides recommendations for teachers interested in integrating social media into their classroom instruction.Lijuan Ye's comparative genre study of spoken argumentation by Chinese and native speakers of English offers pedagogical implications and suggestions for future research in this area.An increasing number of ESL students use cellphones, both within and outside the classroom.Jeff Brown's Perspectives article provides a framework for reflection by instructors whose students use cellphones; it should be of interest to teachers in the ESL classrooms of both today and the future.Iryna Lenchuk and Amer Ahmed have responded to Brett Reynold's article, "Determiners, Feline Marsupials, and the Category-Function Distinction: A Critique of ELT Grammars," which was published in the Spring 2013 issue of the TESL Canada Journal.Brett Reynolds has kindly provided a reply to their article, and both articles are likely to generate thoughtful consideration of the complexities of grammar texts and English grammar pedagogy.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.962

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0390.000

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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
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

Citations0
Published2014
Admission routes3
Has abstractyes

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