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Record W4214864313 · doi:10.4000/vertigo.33645

Entre éthique dharmique et pratiques agraires productivistes, usage des pesticides chez les Bishnoï du Rajasthan

2021· article· fr· W4214864313 on OpenAlexaffvenue
Maria Mélanie Chauveau

Bibliographic record

VenueVertigO · 2021
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les Bishnoï sont les membres d’une communauté religieuse fondée au XVe siècle dans le désert de Thar, dans l’État indien du Rajasthan Établie originellement sur 29 préceptes dont plusieurs codifient les relations aux autres vivants, animaux et végétaux, leur doctrine religieuse, le bishnoïsme, prescrit une éthique de vie dans laquelle avoir de la compassion à l’égard de tous les vivants (jīv) et éviter de leur porter préjudice sont des principes primordiaux. Majoritairement agriculteurs, les Bishnoï font face de nos jours à de profondes transformations induites par la modernité et l’intensification de leur agriculture (extension des systèmes d’irrigation, utilisation de machines, d’engrais et de pesticides).À partir d’une étude ethnographique, cet article interroge les dilemmes éthiques et religieux engendrés par l’utilisation de pesticides destructeurs d’organismes vivants. Il rend compte des arrangements à l’œuvre pour concilier des pratiques agricoles nouvelles en contradiction avec des principes fondateurs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.022
GPT teacher head0.247
Teacher spread0.226 · 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 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
Published2021
Admission routes2
Has abstractyes

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Same venueVertigOSame topicAgriculture and Rural Development ResearchFrench-language works237,207