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Record W3217230894 · doi:10.26443/glsars.v1i1.128

Entre démolition et protection

2021· article· fr· W3217230894 on OpenAlexaffabout
Charles Breton-Demeule

Bibliographic record

VenueMcGill GLSA Research Series · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La démolition par abandon est une problématique qui touche de nombreuses villes à travers le monde. Elle survient lorsqu’un bâtiment patrimonial est laissé sans entretien pendant plusieurs années, jusqu’à ce que sa démolition devienne inévitable. Le droit municipal se trouve au cœur de cette problématique, puisqu’il est susceptible de permettre aux villes d’adopter des règlements pour prévenir l’entretien et la démolition des bâtiments patrimoniaux. La mise au jour de cette problématique amène à s’interroger sur les types de pouvoirs que détiennent les villes pour contribuer à sa prévention. Le présent texte a pour but d’apporter un éclairage juridique à la problématique internationale de la démolition par abandon en prenant l’exemple du droit québécois. Récemment confronté à une vague de démolition d’immeubles patrimoniaux, le législateur québécois a choisi d’adopter, en avril 2021, un projet de loi destiné à conférer des pouvoirs et des obligations aux villes pour assurer l’entretien des bâtiments patrimoniaux. L’analyse de ce projet de loi, ainsi que celle des causes juridiques qui ont mené à son adoption, est l’occasion d’interroger les fondements du droit municipal québécois et des pouvoirs de prévention de la vétusté immobilière.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.225
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.036
Scholarly communication0.0110.007
Open science0.0020.009
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0350.003

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 head0.309
GPT teacher head0.348
Teacher spread0.038 · 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 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
Published2021
Admission routes2
Has abstractyes

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