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Record W2613098247 · doi:10.3917/rfsp.661.0007

Prétendre représenter

2016· article· fr· W2613098247 on OpenAlexaff
Virginie Dutoya, Samuel Hayat

Bibliographic record

VenueRevue française de science politique · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsHistorical Studies in Education
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPhilosophyRepresentation (politics)PoliticsPolitical science

Abstract

fetched live from OpenAlex

La notion de prétention à la représentation ( representative claim ), proposée notamment par Michael Saward, marque-t-elle un tournant constructiviste dans l’étude de la représentation politique ? L’idée selon laquelle le représentant impose une identité au représenté existait déjà chez Hobbes ou Pierre Bourdieu. Mais la théorie politique anglo-américaine, particulièrement depuis l’ouvrage de Hanna Pitkin, s’appuyait plutôt sur une conception de la représentation comme composition, le représenté préexistant à sa représentation. L’intérêt de l’approche de Saward est d’envisager les prétentions à la représentation comme des propositions qui peuvent être acceptées, refusées ou reformulées par les représentés. Les articles réunis dans ce dossier prennent cette approche au sérieux et la mettent à l’épreuve de terrains divers, faisant ressortir la performativité des prétentions à la représentation, leur caractère instituant et leur inscription dans des rapports de pouvoir.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.019
Scholarly communication0.0090.014
Open science0.0010.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0150.004

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 head0.132
GPT teacher head0.447
Teacher spread0.315 · 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

Citations37
Published2016
Admission routes1
Has abstractyes

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Same venueRevue française de science politiqueSame topicEducation, sociology, and vocational trainingFrench-language works237,207