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Rôle de l’action collective et du capital social dans les processus d’adaptation au changement climatique en zone côtière - Comparaison de deux études de cas au Nouveau-Brunswick (Canada)

2016· article· fr· W2493241583 on OpenAlexaffabout
Mélinda Noblet, Julie Guillemot, Omer Chouinard

Bibliographic record

VenueDéveloppement durable et territoires · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversité de MonctonUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article porte sur le rôle du capital social dans le cadre de la mise en œuvre de stratégies d’adaptation au changement climatique dans le secteur du bâti (habitation humaine) en zone côtière. Nos travaux portent sur deux études de cas situées au Nord (Pigeon Hill et Cap-Bateau) et au Sud (Cocagne et Grande Digue) du Nouveau-Brunswick (Canada). Nous constatons que les mobilisations visant la mise en œuvre de stratégies d'adaptation reposent effectivement sur du capital social tels que des relations de parenté ou des liens associatifs. Cependant, ces mobilisations ont une portée relativement restreinte étant donné que la gouvernance locale reste faiblement développée au Nouveau-Brunswick. Afin d’améliorer la prise en charge au sein des communautés des enjeux du changement climatique, il serait nécessaire de repenser la synergie entre les échelles et les modes d’action. Ceci permettrait au capital social - indispensable au développement de ces processus locaux d’adaptation – de s’appuyer sur des ressources et des structures supra-locales.adaptation, changement climatique, capital social, action collective, zone côtière

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.322
Teacher spread0.232 · 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 teacher head, not a consensus.

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

Citations8
Published2016
Admission routes2
Has abstractyes

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Same venueDéveloppement durable et territoiresSame topicClimate Change, Adaptation, MigrationFrench-language works237,207