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Record W2234223121 · doi:10.4000/vertigo.16642

L’adaptation au changement climatique en zone côtière selon l’approche communautaire : études de cas de projets de recherche-action participative au Nouveau-Brunswick (Canada)

2015· article· fr· W2234223121 on OpenAlexaffvenueabout
Omer Chouinard, Sebastian Weissenberger, Daniel Lane

Bibliographic record

VenueVertigO · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsWilfrid Laurier UniversityUniversity of OttawaUniversité du Québec à MontréalUniversité de Moncton
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article présentera des études de cas de projets de recherche action collaborative sur l’adaptation aux changements climatiques, à l’érosion et à l’augmentation du niveau de la mer dans des communautés côtières et riveraines du Nouveau-Brunswick. Ces communautés sont Bathurst/Bayshore, Shippagan, Le Goulet, Cocagne, Grand-Digue, Shediac et Perth-Andover. Les projets ont été menés par des chercheurs de l’université de Moncton en collaboration avec ceux d’autres institutions, en adoptant une approche de recherche-action participative. L’analyse des études de cas met en évidence l’importance de la participation des communautés dans l’élaboration de stratégies d’adaptation et d’identifier certains thèmes récurrents dans le corpus empirique.

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)0.009
metaresearch head score (Gemma)0.012
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 score0.056
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0140.010
Scholarly communication0.0050.001
Open science0.0020.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.262
GPT teacher head0.425
Teacher spread0.163 · 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

Citations6
Published2015
Admission routes3
Has abstractyes

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Same venueVertigOSame topicIndigenous Studies and EcologyFrench-language works237,207