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Record W4390886131 · doi:10.1522/revueot.v32n3.1676

À la croisée des savoirs : mettre en œuvre l’interdisciplinarité dans le cadre d’un projet d’aménagement urbain du secteur LaSalle/Ville Saint-Pierre/Lachine-Est

2024· article· fr· W4390886131 on OpenAlexaffvenueabout
Camille Chabas, Marianne Tollemer, Justine Gonon, Marylou Filiatrault, Benjamin Gutzeit, Jordane Castonguay, Olivier Pesant, Cécile Bulle, Daniel Pearl, Claudiane Ouellet‐Plamondon

Bibliographic record

VenueRevue Organisations & territoires · 2024
Typearticle
Languagefr
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversité de MontréalÉcole de Technologie SupérieureUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Ce projet consiste à rechercher des synergies écosystémiques urbaines entre l’industrie existante, les infrastructures vertes, le patrimoine industriel et les besoins communautaires pour le secteur LaSalle/Ville Saint-Pierre/Lachine-Est, situé autour du canal de Lachine à Montréal. L’objectif de ce projet pluridisciplinaire est de concevoir un plan de réhabilitation urbain favorisant la création de quartiers mixtes, sécuritaires et abordables, soutenu par l’analyse du cycle de vie, l’analyse écosystémique urbaine et les concepts de l’économie circulaire. Le projet vise à répondre aux enjeux climatiques et à rendre le secteur plus résilient. Il présente différents scénarios de transformation du secteur inspirés des principes de l’économie circulaire pour le patrimoine bâti, le système alimentaire, les infrastructures vertes et le transport actif. Des liens entre les différentes industries sont simulés pour analyser la viabilité d’une symbiose industrielle dans le secteur de LaSalle.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.224
Teacher spread0.214 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2024
Admission routes3
Has abstractyes

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