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Record W1975218627 · doi:10.3917/rfap.118.0291

La bureaucratie représentative au sein des états multinationaux

2006· article· fr· W1975218627 on OpenAlexaffabout
Alain‐G. Gagnon, Luc Turgeon, Olivier De Champlain

Bibliographic record

VenueRevue française d administration publique · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversity of TorontoUniversité du Québec à Montréal
Fundersnot available
KeywordsRepresentation (politics)IdeologyState (computer science)BureaucracyPolitical scienceEthnic groupImmigrationMultinational corporationSociologyLawPoliticsMathematics

Abstract

fetched live from OpenAlex

The authors provide a comparative analysis of representative bureaucracy in multinational states, described as being states with more than one group which defines itself as a nation. A clear distinction is made between multinational states (with their historically, culturally and ethnically established minorities) and multiethnic states (with their ethnic communities made up of different waves of immigration, whose culture is more reflected in family life and associations). The authors have selected four types of multinational state in which specific notions of the state, the civil service and national minority representation have gradually become dominant : Turkey, a unitary state, is characterised by extremely passive representation owing to its “Republicanist ideology”; the United Kingdom before 1997, a “union state”, had active representation resulting from a “unionist ideology”; Canada, a federal state, is characterised by a degree of passive representation which reflects the importance given to liberal values ; and Nigeria, a “federal communitarianist state”, stands out for its extremely active representation, which is the result of “communitarianist ideology”.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.004
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.109
GPT teacher head0.409
Teacher spread0.300 · 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

Citations15
Published2006
Admission routes2
Has abstractyes

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Same venueRevue française d administration publiqueSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207