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Record W7165268236

Démanteler le capitalisme, un brin à la fois: aperçu des pratiques économiques en jeu au Bâtiment 7

2025· article· fr· W7165268236 on OpenAlexaboutno aff
Anna Kruzynski

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Economic JusticeSocial power
DOInot available

Abstract

fetched live from OpenAlex

Le Bâtiment 7 est un édifice de 9 200 m2 situé sur les terrains du Canadien National à Pointe-Saint-Charles (Tio'tia:ke/Montréal) qui, après 9 ans de lutte, a été cédé en 2012 par un propriétaire capitaliste à l'OSBL Le Collectif 7 à Nous. Cette présentation vise à explorer comment le Bâtiment 7, en faisant vivre un ensemble diversifié de pratiques économiques émancipatrices (Gibson-Graham, 1996, 2006), provoque des brèches dans les modes de fonctionnement dominants, et ce faisant, contribue à bâtir une société post-capitaliste. À partir de données empiriques recueillies par l’autrice, chercheure engagée et co-fondatrice du Bâtiment 7, nous allons explorer des pratiques émancipatrices telles que la réorganisation du travail pour améliorer le bien-être; la participation des travailleu·reuses dans les décisions sur la distribution des surplus; la pratique de transactions éthiques et réciproques; le maintien et le renouvellement des communs; et l’investissement dans le vivre ensemble de la communauté et des générations futures. Cette analyse élucidera l’existence d’une économie de communauté basée sur des valeurs qui sont en porte-à-faux à celles qui dominent, dont l’aide mutuelle, la diversité, l’autonomie collective et la justice sociale (Kruzynski, 2017).

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.016
Scholarly communication0.0100.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.306
Teacher spread0.276 · 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
Published2025
Admission routes1
Has abstractyes

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