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Record W2901397509

La construction d’un contre-public subalterne, le cas kabane77

2018· article· fr· W2901397509 on OpenAlexaffabout
Samuel Lamoureux, Hélène Legault, Guy Parent

Bibliographic record

VenueR-libre (Université Téluq) · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePublicsPublic spaceESPACESociologyPoliticsArt
DOInot available

Abstract

fetched live from OpenAlex

Devant le déclin et la privatisation de la sphère publique, une forme d’activisme revendique la création d’espaces publics alternatifs. Ce mouvement international, qui prend parfois la forme de zones autonomes à défendre, est présent aussi à Montréal. Le collectif Kabane77 lutte depuis 2012 pour redonner vie à un ancien hangar industriel dans le quartier du Mile-End afin d’en faire un laboratoire de pratiques expérimentales à la fois artistiques et sociales, un lieu d’écologie humaine qui abritera un pôle de production, de diffusion et de partage des savoirs. Cet article est une étude des efforts de ce collectif pour se réapproprier un espace public contre les intentions de la Ville de Montréal. Dans un premier temps, nous démontrerons que, si le collectif Kabane77 tente d’ouvrir une brèche dans la sphère publique, il en est toutefois exclu par le silence médiatique et politique autour de leurs revendications. Deuxièmement, nous soutiendrons que le groupe dispose des caractéristiques d’un contre-public subalterne.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.346
Threshold uncertainty score0.687

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.015
Scholarly communication0.0100.005
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.003

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 head0.019
GPT teacher head0.208
Teacher spread0.189 · 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 designQualitative
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
Published2018
Admission routes2
Has abstractyes

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