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Record W1755528967 · doi:10.22230/cjc.2015v40n2a2842

Le quartier comme production culturelle: du développement économique municipal au développement culturel des quartiers à Montréal

2015· article· en· W1755528967 on OpenAlexaffvenueabout
Martin Lussier

Bibliographic record

VenueCanadian Journal of Communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsUrban culturePolitical scienceSociologyEconomyGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

During the last decade, urban planners and city councilors across the country have taken the “cultural turn.” In Montréal, this has led authorities to focus on citywide culture as a tool for enhancing creativity and for developing the economy of their municipality through the concept of “cultural poles.” But in the past few years, the attention of authorities has shifted from “poles” to “cultural quarters” (or “neighborhoods”), particularly through a new proposed action plan for cultural quarters. Basing itself on municipal documents, comments in the media, papers and reports, this article retraces the transformation from one concept to another as well as the interpretations and decisions that resulted from it. Echoing a larger process of municipalization of culture, the growing interest of Montréal’s authorities in policies that use quarters as an explicit object demonstrates a renewed and changing spatialization of cultural production.

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 score0.062
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0070.002
Open science0.0010.002
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 head0.125
GPT teacher head0.299
Teacher spread0.174 · 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

Citations1
Published2015
Admission routes3
Has abstractyes

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