MétaCan
Menu
Back to cohort
Record W2102855588 · doi:10.5070/l2219063

Foreign Language Teachers’ Struggle to Learn Content-Based Instruction

2010· article· en· W2102855588 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueL2 Journal · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMainstreamMeaning (existential)Foreign languagePedagogyProfessional developmentMathematics educationContent (measure theory)Language educationPsychologyPolitical science

Abstract

fetched live from OpenAlex

Research has shown content-based instruction (CBI) to be effective in various language settings, yet this promising curricular approach remains rarely implemented in mainstream foreign language educational contexts. While the existing body of research has identified important barriers to the implementation of CBI, it has neglected the problem of meaning which is essential to understanding educational reforms. This phenomenological study explores the meaning that the experience of learning CBI had for in-service foreign language teachers in traditional teaching contexts who were once enrolled in a year-long professional development program specifically designed to help them become familiar with CBI core principles and create CBI curricular materials. Findings suggest that teachers struggle mainly with the idea of teaching language through content, a concept they have difficulty grasping or even accepting as a possibility. Professional development programs must be designed to respond to this specific challenge if they are to help teachers explore new instructional possibilities.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.991

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.030
GPT teacher head0.242
Teacher spread0.212 · 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