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Record W1945987794 · doi:10.7202/1030951ar

Agir aux marges de la concertation de quartier : le conciliabule autour de la conversion de l’église Très-Saint-Nom-de-Jésus à Montréal

2015· article· fr· W1945987794 on OpenAlexaffvenueabout
Michel Roy, Gilles Sénécal, Marie-Ève Desroches

Bibliographic record

VenueLien social et Politiques · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsInstitut National de la Recherche ScientifiqueCollège de Maisonneuve
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Autour d’un dossier singulier, un groupe d’acteurs forme ce que nous désignons unconciliabule, dans le but de renouveler l’espace public de la concertation et, de la même façon, d’introduire un mode de participation inédit, fondé sur des interactions entre des personnes tenues aux marges des réseaux de concertation institués. Un conciliabule se définit comme un dossier monté par un petit nombre de personnes (autant des acteurs reconnus du réseau de concertation que des citoyens sans affiliation), circonscrit dans le temps et l’espace, formé sur une cible précise, menant à une diffusion large des enjeux qu’il induit. Afin de saisir le caractère propre des pratiques conciliabulaires, nous avons suivi un cas récent dans le quartier Hochelaga-Maisonneuve, celui du projet de conversion de l’église du Très-Saint-Nom-de-Jésus (TSNJ), dont la nature relève à la fois du projet communautaire et social, du design urbain et du projet culturel, notamment par la mise en valeur de l’orgue Casavant jugé exceptionnel.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.001

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 head0.042
GPT teacher head0.334
Teacher spread0.292 · 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

Citations3
Published2015
Admission routes3
Has abstractyes

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