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Record W4362502110 · doi:10.1051/cagri/2023006

Importance de la confiance dans la gestion collective des risques de pullulation de ravageurs

2023· article· fr· W4362502110 on OpenAlexaff
Romain Dureau, Philippe Jeanneaux

Bibliographic record

VenueCahiers Agricultures · 2023
Typearticle
Languagefr
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversité Laval
FundersRégion Auvergne-Rhône-Alpes
KeywordsHumanitiesForestryPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

Depuis les années 1970, les pullulations de campagnols terrestres causent d’importants dommages aux prairies du Massif central (France), menaçant la viabilité économique des élevages herbagers. Nous interrogeons la place de la confiance dans la lutte contre les ravageurs, étudiée comme la production d’un bien collectif de formulation weaker-link . L’apport principal de l’article est un cadre d’analyse qui intègre les effets de seuil relatifs à la complexité des mécanismes agroécologiques sous-jacents. Ce cadre d’analyse est mis en regard de faits stylisés issus d’enquêtes qualitatives auprès d’éleveurs et d’acteurs institutionnels, mettant en évidence certains déterminants de la construction de la confiance. Il ressort que la confiance des éleveurs dans leur capacité à maîtriser le phénomène de pullulation est faible. Si la confiance des éleveurs vis-à-vis des méthodes de lutte est plutôt faible, il semble que leur confiance à l’égard, d’une part, des organismes scientifiques et techniques, et d’autre part, des éleveurs voisins, est plus faible encore et pourrait davantage expliquer les défaillances observées de l’action collective face au risque de pullulation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

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