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Record W7162010115 · doi:10.82308/28736

Official language policy in Canada and Switzerland : language survival and political stability

2000· dissertation· en· W7162010115 on OpenAlexaboutno aff
Thomas. Blaser

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage policyTerritorialityPoliticsDemocracyGrievanceLiberal democracyPolitical movement

Abstract

fetched live from OpenAlex

The official language policies and their basic concepts, the principle of personality in Canada and the principle of territoriality in Switzerland, are critically analyzed. The two democratic federations are compared as two multination states since 'nation' is defined in cultural terms. Language survival is justified in liberal theory through minority rights. The principle of territoriality that assures the dominance of the linguistic majority over a territory within the federation is in accordance with liberal democracy if fundamental rights are protected. The principle of territoriality contributes thus to political stability within a multination federation. There is no movement in Switzerland that is fed by a language-based grievance despite the existence of three linguistic minorities: Switzerland accommodates successfully linguistic diversity. In Canada, the perception that the survival of the French language might not be sustained fuels a secessionist movement threatening the unity of the federation.

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)0.010
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: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0160.009
Scholarly communication0.0110.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.294
Teacher spread0.286 · 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
Published2000
Admission routes1
Has abstractyes

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