MétaCan
Menu
Back to cohort
Record W3183055581

Social Context of Language Teaching

2016· article· en· W3183055581 on OpenAlexaboutno aff
Mohsen Hafezian

Bibliographic record

VenueCritical Studies in Texts & Programs of Human Sciences · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyContext (archaeology)Identity (music)PedagogyClass (philosophy)Language educationNobilityFirst languageImmigrationSociologyTeaching methodLinguisticsMathematics educationPsychologyHistoryAestheticsEpistemologyPolitical scienceArtLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Abstract According to the scholastic traditions and the familiar and accustomed ways, in the educational settings, majority of the discourses on non-mother tongue education revolves around technicalities and approaches, as well as whether a published collection, commonly known as a “method”, is new or old. However, in reality, it is the socio-historical context and the dominant ideology prevailing the language education and educational contents that determine the teaching methods, language learner’s identity, selected content of courses, organization of the contents to be presented in the class, reasons for preparing such contents, explicit or implicit goals of teaching non-mother tongues, in all their realized forms. The goals of French-speaking nobility in 16th century England in preparing Latin material for teaching French were not the same as those in the courses prepared for job-seeking immigrants in 21st century French-speaking Quebec province of Canada. This paper briefly presents the theoretical materials and then we review the current situation based on the available data for external and dominating contexts on the teaching of non-mother tongues and then we conclude with posing fundamental questions in this area.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.008
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 head0.271
GPT teacher head0.490
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCritical Studies in Texts & Programs of Human SciencesSame topicLinguistic Education and PedagogyFrench-language works237,207