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Record W4403092403 · doi:10.7202/1113652ar

La solidarité agonistique comme « mesure » de résonance : penser l’engagement démocratique avec Hannah Arendt et Hartmut Rosa

2020· article· fr· W4403092403 on OpenAlexaffvenue
Milan Bernard, Pascale Devette

Bibliographic record

VenueEurostudia · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article souhaite proposer de compléter et dynamiser la solidarité, par une démarche de politisation de la notion, dont la conception traditionnelle et dominante d’origine « juridico-sociale » semble avoir atteint la limite de son « efficacité ». Prenant comme point de départ les propositions d’Hartmut Rosa sur la résonance, nous approcherons la solidarité, au travers des concepts d’action et de récit chez Hannah Arendt, dans la recherche d’une mesure difficile, instable et précaire entre des exigences différentes et parfois conflictuelles. Cette conception de la solidarité se fonde sur une idée radicalement plurielle de la communauté politique et de l’engagement démocratique. Sans prétention à l’homogénéité, cette vision politique de la solidarité se décline comme possibilité d’entrer en contact et d’agir de concert avec des personnes différentes de soi, donc à faire l’expérience concrète de l’altérité dans un objectif partagé en commun.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.034
Scholarly communication0.0090.008
Open science0.0010.007
Research integrity0.0040.006
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 head0.110
GPT teacher head0.363
Teacher spread0.253 · 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 designTheoretical or conceptual
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
Published2020
Admission routes2
Has abstractyes

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