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Record W2098990539

The Shaping of Spanish CLIL.

2012· article· es· W2098990539 on OpenAlexaboutno aff
Roldán Tapia, Rafael Antonio

Bibliographic record

VenueEncuentro: revista de investigación e innovación en la clase de idiomas · 2012
Typearticle
Languagees
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsSyllabusCurriculumPedagogyMathematics educationTask (project management)Subject (documents)SociologyBilingual educationPsychologyEngineeringComputer scienceLibrary science
DOInot available

Abstract

fetched live from OpenAlex

ELT in Spain is witnessing the arrival of CLIL and English is changing from a goal-oriented school subject to a medium of instruction for content subjects. What is taking place in our system is influenced by what has previously happened elsewhere. Two research episodes have contributed to it: the Bangalore Project in India and the Canadian Immersion Program originated at the St Lambert School in Montreal. From the first one we learnt about the notion of task, as an innovative element for curriculum design at that time, and, consequently, about a new type of syllabus: the process syllabus. Task-based approaches and project-work founded its pedagogical principles on this type of syllabus. The Canadian Immersion Program has provided us with, at least, two psycho-pedagogical principles that are paramount in bilingual education: (a) the distinction between BICS and CALP, and b) the principle of common underlying 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.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.022
GPT teacher head0.272
Teacher spread0.250 · 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
Published2012
Admission routes1
Has abstractyes

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Same venueEncuentro: revista de investigación e innovación en la clase de idiomasSame topicSecond Language Learning and TeachingFrench-language works237,207