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Record W3041698130 · doi:10.7202/1070154ar

Conservation environnementale et production alimentaire « alternative » au Bas-Saint-Laurent, Québec

2020· article· fr· W3041698130 on OpenAlexaffvenueabout
Sabrina Doyon

Bibliographic record

VenueAnthropologie et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Depuis 20 ans, les initiatives de production alimentaire « alternatives » proposant une approche différente de la conservation de la nature sont en émergence au Bas-Saint-Laurent (Québec), une région aux prises, depuis des décennies, avec des difficultés économiques structurelles et où la conservation de la nature est moins importante sur le plan de la superficie que dans le reste du Québec. Ces initiatives mettent en oeuvre différentes activités s’inscrivant dans une écologisation de l’agriculture. Elles ont la particularité de comprendre des préoccupations pour la conservation de la nature en conjuguant des pratiques de production respectueuses, la protection et la préservation de la biodiversité et une approche du développement économique mettant de l’avant une éthique du local. Ces initiatives pourraient être complémentaires aux approches de conservation gouvernementales en place et potentiellement contribuer à l’atteinte de leurs objectifs. L’étude des contraintes auxquelles font face ces initiatives, qui sont révélées par leurs pratiques et discours, permet d’examiner la possibilité d’y parvenir.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.285
GPT teacher head0.498
Teacher spread0.213 · 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
Published2020
Admission routes3
Has abstractyes

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