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Record W2057734757 · doi:10.7202/057070ar

Reconversion économique, développement local et mobilisation sociale: le cas de Montréal

2005· article· fr· W2057734757 on OpenAlexvenueaboutno aff
Juan‐Luis Klein, Jean‐Philippe Waaub

Bibliographic record

VenueRecherches sociographiques · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Lors de la reconversion d'espaces industriels, les acteurs sociaux et économiques se confrontent et s'associent selon des modalités de gestion du développement de type post-fordiste caractérisées par le partenariat et la flexibilité. L'analyse porte sur le rôle des acteurs internes et externes dans ce processus qui, bien qu'induit par la globalisation économique, prend des orientations locales précises selon les acteurs en présence et les compromis auxquels ils aboutissent. Les auteurs comparent deux cas de reconversion en cours à Montréal, l'un dans le quartier central de Rosemont et l'autre à Ville Saint-Laurent, proche banlieue industrielle de Montréal. Ces deux cas mettent en action la grande entreprise externe et la communauté locale. Mais ils divergent quant au rôle que joue le milieu. Il en ressort que la mobilisation sociale est déterminante dans l'orientation et les choix des projets de développement local, ce qui a des conséquences sur les acteurs directement concernés et sur la collectivité dans son ensemble.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.005
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.126
GPT teacher head0.363
Teacher spread0.237 · 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

Citations6
Published2005
Admission routes2
Has abstractyes

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