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Record W2801151652 · doi:10.3917/mult.070.0082

La construction du commun comme politique post-capitaliste

2018· article· fr· W2801151652 on OpenAlexaboutno aff
Katherine Gibson, Jenny Cameron, Stephen Healy, Priscilla De Roo, Anne Querrien

Bibliographic record

VenueMultitudes · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Aujourd’hui la planète est confrontée à l’absence de gestion de communs vitaux tels que l’air, le climat, l’eau. Il importe de construire des modalités collectives de gestion de ces communs, impliquant le maximum de parties prenantes. Pour cela, il faut sortir du capitalocentrisme, parallèle au phallocentrisme dénoncé par les féministes, pour lequel le commun serait engendré inévitablement par les contradictions du capitalisme. Il vaut mieux analyser la manière dont le commun se construit progressivement en mettant une ressource en commun quel que soit le régime de propriété. Trois exemples sont donnés : la qualité de l’air dans une ville australienne jouxtant une mine de charbon, où habitants et industriels ont reconnu peu à peu la nécessité de prévenir la pollution ; la menace sur la couche d’ozone qui a été conjurée à la fois par le Protocole de Montréal de 1985 et par une multitude d’actions en ce sens ; le développement des installations solaires domestiques par les citoyens australiens. À chaque fois une communauté d’acteurs s’est formée transversalement aux lignes de clivages de classe, et c’est une prolifération de ces communautés qui peut mettre l’énergie, l’atmosphère et d’autres ressources planétaires en commun. Il faudrait cependant que cette politique ait un nom, pour lequel l’article propose « La construction du 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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0010.003
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 head0.062
GPT teacher head0.305
Teacher spread0.243 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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