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Record W2923238315 · doi:10.4000/norois.7201

Entre attachement aux lieux et gestion de la reconstruction post-sinistre : l’action municipale au centre-ville de Lac-Mégantic, Québec (Canada)

2018· article· fr· W2923238315 on OpenAlexaffabout
Emmanuelle Bouchard-Bastien, Geneviève Brisson

Bibliographic record

VenueNorois · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Se basant sur une recherche qualitative réalisée à la suite de la tragédie ferroviaire de Lac-Mégantic (Québec, Canada), cet article explore la manière dont les autorités ont pris en charge la reconstruction des lieux sinistrés et prennent en compte les significations et les liens au territoire lorsqu’il est si violemment atteint par une catastrophe et par ses réaménagements. Les principaux lieux significatifs de Lac-Mégantic ont été identifiés, ainsi que les réponses mises en place par les autorités. À partir du concept de lien d’attachement au lieu et de ses modélisations, l’analyse mobilise quatre dimensions du sens aux lieux, l’identité, la fonctionnalité, l’univers social et la nature. L’étude entend offrir une contribution à l’anthropologie des catastrophes en démontrant que les lieux significatifs sont au cœur des enjeux du processus de gestion de la catastrophe et de la reconstruction à Lac-Mégantic.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.050
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.016
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.032
GPT teacher head0.331
Teacher spread0.299 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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