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Content-Based Second Language Instruction

2010· book· en· W4299510470 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

VenueOxford University Press eBooks · 2010
Typebook
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComprehension approachComputer scienceCommunicative language teachingCurriculumFocus (optics)Language educationContent (measure theory)Focus on formLanguage assessmentSecond-language acquisitionExperiential learningSheltered instructionForeign languageMathematics educationPedagogyLinguisticsPsychologyGrammar

Abstract

fetched live from OpenAlex

Content-based second language instruction is the essence of this article. Content-based instruction is a form of communicative language teaching in which language instruction is integrated with school or academic content instruction. Content-based approaches to second and foreign language teaching have in recent decades become increasingly prominent at all levels of schooling and in postsecondary education. In content-based instruction as in other experiential communicative language teaching approaches, the traditional second language instructional focus on raising learners' awareness of linguistic form is secondary to a focus on their learning and sharing of information through the medium of the second language, in a curriculum based on the language needed for learning the particular content. As content-based instruction evolves, there is, as well, increasing recognition of the need to draw learners' attention to formal properties of the language within communicative situations. Content-based is likely to continue to flourish, particularly in developing advanced second language proficiency.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.979
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.190
Teacher spread0.162 · 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