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Record W2140368457 · doi:10.7202/1017515ar

Occupy, indignados, et le Printemps Érable : vers un agenda de recherche

2013· article· fr· W2140368457 on OpenAlexvenueaboutno aff
Daniel Weinstock

Bibliographic record

VenueMcGill Law Journal · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les mobilisations populaires dont ont été témoins plusieurs sociétés occidentales soulèvent de nombreuses questions de philosophie politique et juridique que les chercheurs de ces disciplines devront s’approprier s’ils veulent contribuer de manière utile au débat social que nous imposent les protagonistes du mouvement Occupy, les Indignados, ou encore les citoyens qui sont descendus dans la rue au Québec au moment du Printemps Érable. Les questions les plus urgentes nous semblent être les suivantes : les manifestations et protestations publiques font-elles une entorse à la démocratie en ne passant pas par les institutions formelles, ou bien devraient-elles, à certaines conditions, être perçues comme faisant partie de la vie démocratique? Deuxièmement, quelle est l’extension de la notion de « grève »? S’agit-il d’un non-sens pour une association étudiante de prétendre qu’elle peut, au même titre qu’un syndicat de travailleurs, se prévaloir de cet outil de pression? Troisièmement, quelles sont les conditions qui rendent légitime dans le contexte d’une démocratie libérale le recours à la désobéissance civile? Enfin, la conception de la propriété privée, centrale aux sociétés occidentales modernes, exclut-elle que même la propriété privée puisse avoir des fonctions sociales, en vertu desquelles cette institution tirerait peut-être même sa justification?

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)0.007
metaresearch head score (Gemma)0.008
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 score0.794
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0090.027
Scholarly communication0.0190.018
Open science0.0020.006
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.205
GPT teacher head0.384
Teacher spread0.180 · 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

Citations1
Published2013
Admission routes2
Has abstractyes

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