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Record W2133231941 · doi:10.7202/007916ar

Partis politiques et divisions sociales : les enseignements de l’Europe centrale et orientale

2004· article· fr· W2133231941 on OpenAlexvenueno aff
Antoine Roger

Bibliographic record

VenueLien social et Politiques · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les mutations intervenues depuis 1990 dans les pays d’Europe centrale et orientale appellent une redéfinition des rapports établis entre partis politiques et divisions sociales. Aucune concordance n’est pourtant perceptible au premier abord. Selon l’explication la plus répandue, les pesanteurs héritées du régime communiste font obstacle à une connexion des dynamiques politique et sociale. Cette clé de lecture ne fonctionne que dans la mesure où une attention exclusive est accordée aux facteurs de structuration internes. Elle perd toute pertinence dès l’instant où sont prises en compte les contraintes externes imposées par le processus d’élargissement de l’Union européenne. Les partis politiques d’Europe centrale et orientale doivent se positionner face aux exigences de la Commission. Il leur faut par ailleurs relayer les intérêts que ces mêmes exigences confortent ou contrarient au sein de la population. La nécessité d’articuler les sollicitations externes et internes préside à une connexion indirecte des dynamiques politique et sociale.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.234
GPT teacher head0.463
Teacher spread0.229 · 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
Published2004
Admission routes1
Has abstractyes

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