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Record W2131544174 · doi:10.18806/tesl.v31i0.1191

Incorporating Language Structure in a Communicative Task: An Analysis of the Language Component of a Communicative Task in the LINC Home Study Program

2015· article· en· W2131544174 on OpenAlexfundvenueaboutno aff
Iryna Lenchuk

Bibliographic record

VenueTESL Canada Journal · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
FundersBrock University
KeywordsTask (project management)Language educationComputer scienceLinguisticsMeaning (existential)Task analysisPedagogyPsychologyEngineeringPhilosophy

Abstract

fetched live from OpenAlex

The purpose of this article is to analyze a task included in the LINC Home Study (LHS) program. LHS is a federally funded distance education program offered to newcomers to Canada who are unable to attend regular LINC classes. A task, in which a language structure (a gerund) is chosen and analyzed, was selected from one instructional module of LHS offered as a demonstration module for the general public. Specifically, the analysis presented in this article focuses on how language structure is integrated into the task. The integration of language structure into the task is assessed against the criteria outlined in the Task-Based Language Teaching and Learning (TBLT) literature and the Canadian Language Benchmarks (CLBs) guidelines. The analysis of the task demonstrates that the presentation of language structure in the task violates the main principle of a meaning-based approach to second language teaching (i.e., task-based instruction) that emphasizes the primacy of meaning over language forms. Considering that LHS is a national program identified as one of the Best Practices in Settlement Services language programs, this article calls for more research on the topic.L’objectif de cet article est d’analyser une tâche du programme de formation à domicile LINC. Ce programme d’éducation à distance est financé par le gouvernement fédéral et offert aux nouveaux arrivants qui ne peuvent pas assister aux cours LINC réguliers. Nous avons choisi une tâche impliquant l’analyse d’une structure linguistique (un gérondif) d’un module pédagogique du programme qui est offert au grand public comme module de démonstration. Plus précisément, l’analyse présentée dans cet article porte sur l’intégration de la structure langagière dans la tâche. L’intégration est évaluée selon les critères découlant de la littérature sur l’enseignement des langues basés sur les tâches et selon les normes linguistiques canadiennes. L’analyse de la tâche a démontré que la présentation de la structure langagière allait à l’encontre du principe sur lequel s’appuie l’approche de l’enseignement d’une langue seconde axée sur le sens (c’est à dire, basée sur les tâches) et faisant prévaloir le sens sur la forme. Le programme de formation à domicile LINC étant un programme national identifié comme une des pratiques exemplaires en matière de services d’établissement, cet article s’exprime en faveur de recherches plus approfondies à ce sujet.

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)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.301
Teacher spread0.265 · 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 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

Citations1
Published2015
Admission routes3
Has abstractyes

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