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Record W2808558090 · doi:10.7202/1047376ar

The Crisis After the Crisis: Neoliberalized Discourses of Urgency, Risk and Resilience in the Reconstruction of Lac-Mégantic

2018· article· en· W2808558090 on OpenAlexaffvenue
Liette Gilbert

Bibliographic record

VenueRevue générale de droit · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsYork University
Fundersnot available
KeywordsDemolitionReal estateRedevelopmentNarrativeAppropriationPolitical sciencePublic administrationSociologyEngineeringLawCivil engineeringArt

Abstract

fetched live from OpenAlex

This article examines how discourses of urgency, risk and resilience were mobilized in the reconstruction phase of Lac-Mégantic in the aftermath of the violent train derailment of July 2013. These discursive practices are central to rendering the existing built environment obsolete and allowing for redevelopment and reconstruction through expropriation and demolition. The manipulative discourses deployed in Lac-Mégantic utilize urgency to justify legislation than enables appropriation and demolition while creating the appearance of asking people to participate to reinvent their city. The mobilization of a risk and public insecurity logic about decontamination served as an alibi for demolishing the remaining downtown to clear the way for new real estate investments. It was also about emotionalizing resilience as a way to discredit contestation and instill acceptance and support for reconstruction efforts. The reconstruction process is deemed a crisis after the July 2013 crisis.

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)0.004
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 score0.912
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.032
Scholarly communication0.0110.005
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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Same venueRevue générale de droit→Same topicFrench Urban and Social Studies→French-language works237,207→