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Record W4417252671 · doi:10.4000/15bwa

Faire face aux défis climatiques, opportunités et freins de l’action à Saint-André-de-Kamouraska. Étude des modes de gouvernance des acteurs-clefs de la gestion des risques

2025· article· W4417252671 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNorois · 2025
Typearticle
Language
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsBusiness Development Bank of CanadaUniversité du Québec à Rimouski
Fundersnot available
KeywordsContext (archaeology)Face (sociological concept)Corporate governanceVisionPerspective (graphical)

Abstract

fetched live from OpenAlex

Après avoir mis en évidence les acteurs-clefs de la gestion du risque à Saint-André de Kamouraska (Québec, Canada), cet article rend compte de leurs visions de modes de gouvernance qui permettent de faire face aux défis posés par les risques climatiques. Dans notre étude, nous documentons les facteurs qui renforcent les capacités d’adaptation et de résilience de la communauté. Nous révélons les « possibles » conçus par les acteurs-clefs, soit les chemins que peut emprunter le changement. Nous déterminons la place qu’occupe l’environnement dans le discours de ces intervenants et nous constatons la promotion de modes de gouvernance territorialisés aux caractères adaptatifs. Dans l’urgence de l’événement météorologique extrême, est-ce que de tels modes de gouvernance sont applicables? Ayant fait l’expérience d’une submersion marine en décembre 2010, le cas de Saint-André-de-Kamouraska fournit quelques éléments de réponses à cette question.

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.

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)0.004
metaresearch head score (Gemma)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.345
Teacher spread0.253 · 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