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Record W4410629535 · doi:10.3138/uhr-2024-0026

Comprendre la fermeture de l’incinérateur des Carrières : le rôle des changements sociaux et politiques dans la désindustrialisation des environnements urbains

2025· article· fr· W4410629535 on OpenAlexvenueaboutno aff
Clarence Hatton‐Proulx

Bibliographic record

VenueUrban History Review · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

In contrast to many industrialized cities, Montreal stopped incinerating its solid waste more than thirty years ago. The urban ruin of the des Carrières incinerator reminds us that the city of Montreal also chose to burn its household waste for most of the twentieth century. This article explores the factors that explain the abandonment of this waste treatment technology. To do so, it studies the case of the des Carrières incinerator, opened in 1969 and shut down in 1993, the last remnant of solid waste incineration in Montreal. Based on archival documents and interviews, the article identifies several supplementary causes to explain its closing: a lack of investment and maintenance, a difficult economic context leading to difficult spatial choices, competition from largely unregulated peripheral landfill sites, an influential anti-incineration movement, changes in municipal politics characterized by different priorities as well as the gentrification of neighbourhoods adjacent to the incinerator. This case study, at the crossroads of the history of urban environments and deindustrialization studies, analyzes the production of environmental public policy at the municipal level. It contributes to knowledge on deindustrialization by focusing on the role of municipal administrations and urban changes in the closing of waste treatment plants, leading to the export of the environmental consequences of urban lifestyles toward peripheral sacrificed landscapes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.130
GPT teacher head0.331
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2025
Admission routes2
Has abstractyes

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