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Record W3196622286 · doi:10.55765/atps.i10.578

Réappropriation d’une friche urbaine par l’art: analyse d’une démarche créative citoyenne dans l’espace public

2016· article· fr· W3196622286 on OpenAlexaff
Annie Baillargeon-Fortin

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceConscienceArt

Abstract

fetched live from OpenAlex

Chaque ville possède des zones dépourvues de circulation humaine durant le jour ou la nuit. Par la réclusion qu’ils comportent, ces lieux rendent vulnérables quiconque s’y aventure et particulièrement les femmes. Afin de remédier à cette situation, l’organisme Conscience Urbaine fait le pari qu’en modifiant un lieu par l’art, cela changera les perceptions, augmentera la fréquentation et par conséquent la sécurité du lieu. Plus qu’un simple projet d’art dans l’espace public, on parle d’une action concertée qui repose sur la coopération des différents acteurs pouvant agir sur le lieu. Nous avons suivi les projets de Conscience urbaine durant l’été et l’automne 2015 pour comprendre comment ceux-ci pouvaient s’inscrire dans une démarche d’innovation sociale. Nous avons également observé la démarche du point de vue des modèles des changements profonds pour parvenir à comprendre ce qui freinait ou alimentait l’innovation et la créativité dans le processus d’action de l’organisme.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.034
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0130.013
Scholarly communication0.0180.008
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0220.003

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 head0.040
GPT teacher head0.284
Teacher spread0.244 · 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
Published2016
Admission routes1
Has abstractyes

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