MétaCan
Menu
Back to cohort
Record W2023700429 · doi:10.7202/1015123ar

La défaite de la sdn face aux nationalismes des majorités

2013· article· fr· W2023700429 on OpenAlexvenueno aff
Roser Cussó

Bibliographic record

VenueÉtudes internationales · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En contraste avec d’autres unités de la sdn, la Section des minorités tend à limiter ses missions. Elle n’appuie pas l’extension des traités ni ne consulte les entités non gouvernementales ; elle n’alerte pas l’opinion publique sur la montée du fascisme. Très important, la Section contribue à consolider l’image « identitaire » des revendications nationales non étatiques. En fait, elle ne pense pas les conflits entre majorités et minorités comme des conflits politiques entre droits concurrents, à la fois collectifs et individuels. Peu étudiées jusqu’ici, les décisions sur l’irrecevabilité de certaines pétitions, notamment celles non couvertes par les traités, illustrent ces propos. Indépendamment de l’influence des grandes puissances, la Section des minorités soutient une philosophie politique favorable aux nationalismes des majorités sans contradiction avec une volonté de juridicisation du domaine.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.117
GPT teacher head0.424
Teacher spread0.307 · 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 designNot applicable
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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueÉtudes internationalesSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207