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Record W4294712699 · doi:10.18806/tesl.v39i1/1371

The Workplace Writing Experiences of EAL Professionals

2022· article· en· W4294712699 on OpenAlexvenueaboutno aff
Cheryl John

Bibliographic record

VenueTESL Canada Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogyHumanitiesThematic analysisPsychologyEnglish languageApplied linguisticsSociologyQualitative researchLinguisticsArtMathematics educationPhilosophySocial science

Abstract

fetched live from OpenAlex

A review of the literature on English second language (L2) writing skills reveals a need for more research on the workplace writing experiences of L2 professionals employed in English as an additional language (EAL) contexts. Through a semi-structured interview and a think-aloud activity, this study gathered qualitative data with the aim of gaining insight into the workplace writing practices, challenges, and strategies of five EAL professionals with developing workplace writing skills, employed in Toronto. The data were initially analyzed using a thematic analysis technique, and upon further exploration, three factors were identified as influential in the development of the participants’ workplace writing skills: motivation, awareness of the role of self, and awareness of the role of others.
 Une revue de la littérature sur les compétences d’écriture en anglais langue seconde (ALS) révèle la nécessité de mener davantage de recherches à propos des expériences d’écriture dans le milieu de travail des professionnels ayant appris l’ALS et qui travaillent dans des contextes d’anglais en tant que langue additionnelle (ALA). En utilisant des entretiens semi-dirigés et des activités de réflexion à haute voix, cette étude qualitative avait pour objectif de mieux comprendre les pratiques, défis et stratégies d’écriture en milieu de travail de 5 professionnels ALA, ayant des compétences d’écriture en développement et travaillant à Toronto. Les données ont été initialement analysées suivant une technique d’analyse thématique. Des analyses plus approfondies ont mené à l’identification de trois facteurs d’influence dans le développement des compétences d’écriture en milieu de travail chez les participants : la motivation, la conscience du rôle de soi-même et la conscience du rôle des autres.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0660.000

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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 designQualitative
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
Published2022
Admission routes2
Has abstractyes

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