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Record W4367672529 · doi:10.7202/1098912ar

Herbicides à base de glyphosate et enjeux de droits pour la santé, le travail et les dispositifs évaluatifs et réglementaire

2023· article· fr· W4367672529 on OpenAlexaffabout
Louise Vandelac, Mia Sarrazin, Marie-Hélène Bacon, Lise Parent

Bibliographic record

VenueCommunitas · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsGlyphosatePesticidePolitical scienceAgricultural scienceEnvironmental protectionGeographyBiotechnologyBiologyAgronomy

Abstract

fetched live from OpenAlex

En 2015, la France reconnaissait les hémopathies malignes, dont les lymphomes non hodgkiniens (LNH), comme maladies professionnelles liées aux pesticides. Le CIRC de l’OMS déclarait alors le glyphosate et les herbicides à base de glyphosate génotoxiques et cancérigènes probables. Aux États-Unis, 125 000 victimes américaines de LNH attribué au Roundup de Bayer-Monsanto recourraient aux tribunaux qui autorisèrent la déclassification de 2,5 millions de pages de documents internes, les Monsanto Papers, témoignant de décennies de manipulations des dispositifs évaluatifs et réglementaires pour taire la dangerosité du Roundup. Après trois coûteuses condamnations, Bayer-Monsanto signa un règlement hors cours partiel de 11 milliards de dollars américains, et retira du marché, aux ÉtatsUnis, le Roundup à usage domestique. La hausse structurelle des pesticides, passée de 2,3 à 4,1 millions de tonnes de 1990 à 2018, contribuant aux 385 millions de cas par an d’empoisonnement graves et non intentionnels, et leurs impacts menaçants sur le climat, la biodiversité et les limites planétaires, exigent d’aller au-delà des compensations de certaines maladies pour mettre en évidence les responsabilités des firmes productrices, des instances réglementaires et des pouvoirs publics : c’est le cœur de cet article centré sur les HBC, premiers pesticides au monde, au Canada et au Québec et sur leurs liens avec certains cancers, dont les lymphomes non hodgkiniens (LNH).

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.088
GPT teacher head0.384
Teacher spread0.296 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes2
Has abstractyes

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