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Record W4296907652 · doi:10.1080/01434632.2022.2122479

The governance of Basque language revitalisation in the Basque Autonomous Community: from confrontation toward collaboration

2022· article· en· W4296907652 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

VenueJournal of Multilingual and Multicultural Development · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsLegitimationCorporate governanceContext (archaeology)Political sciencePoliticsSociologyCollaborative governancePublic administrationPublic relationsGeographyManagementLawEconomics

Abstract

fetched live from OpenAlex

In recent decades, language revitalisation policies, programmes and initiatives have had to develop in an environment of major social, political, economic, or technological changes that have had an extraordinary impact on the governance of minority language revitalisation. In this context, we have studied the changes that have taken place in the governance of the revitalisation of the Basque language in the Basque Autonomous Community during the first two decades of the twenty-first century: from open antagonism to a common commitment to collaborative governance. We present an analysis of the models of governance confronted in the field of the revitalisation of the Basque language, of the rationalities that inform them or provide them with resources of meaning and legitimation, and of the process by which a model of collaborative governance has been arrived at.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.029
GPT teacher head0.316
Teacher spread0.287 · 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