MétaCan
Menu
Back to cohort
Record W7056527892

Fighting Words: Catalonia at the Language Instruction Crossroads

2022· article· en· W7056527892 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2022
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanLegislatureSchismOfficial languageConstitutional courtConstitutional lawConstitutional right
DOInot available

Abstract

fetched live from OpenAlex

The schism between Spain and Catalonia obscures a struggle over the teaching language for non-linguistic subjects in Catalonia's public schools. The recent two decades decanted into Catalan society two Spanish Constitutional Court rulings mandating a Castilian-Catalan conjunctive instruction model—with Catalan as the "center of gravity"—and tasking the Catalan legislature with configuring that "center." Pleasing none and spurned by all, the Constitutional Court duology emboldened activist lower courts to bypass the Catalan legislature, while schools in Catalonia continued to teach almost exclusively in Catalan. With the Castilians alienated and the Catalans defiant, language instruction in Catalonia turned into a festering wound for which a radical rethinking must be prescribed. Across the Atlantic, Quebec offers an instruction scheme where two languages co-exist in concord. Drawing from the two regions' legal and social similarities, this Note contends that Catalonia should emulate Quebec, where public schools are split into two tracks—French-medium as the default, English-medium by election.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.904

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 studies0.0080.006
Scholarly communication0.0110.003
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueeYLS (Yale Law School)Same topicParticle accelerators and beam dynamicsFrench-language works237,207