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Record W2965531127

Grains : Monsanto contre Schmeiser

2014· book· fr· W2965531127 on OpenAlexaboutno aff
Annabel Soutar

Bibliographic record

VenueLes Editions Ecosociété eBooks · 2014
Typebook
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Grains raconte le celebre proces intente par la multinationale Monsanto contre un cultivateur de la Saskatchewan. En 1998, le geant des produits chimiques et des biotechnologies accuse Percy Schmeiser d'avoir viole son brevet sur une semence de colza genetiquement modifie : le canola Roundup Ready. Schmeiser pretendait que les graines etaient arrivees dans son champ par contamination aerienne. L'histoire de sa longue resistance ? et de sa defaite en Cour supreme du Canada ? a fait le tour du monde. Poussant plus loin l'investigation, Annabel Soutar entraine le lecteur dans les coulisses de l'agrobusiness en lui faisant vivre « de l'interieur » les methodes qu'emploie Monsanto pour introduire ses semences OGM dans les communautes agricoles du Canada et du monde entier. Intimidation, delation, pots-de-vin, campagnes de denigrement et, bien sur, poursuites judiciaires sont au menu, pendant que l'Etat canadien abdique son role de surveillance de l'industrie et d'information du public. Dans cette piece de theâtre documentaire, genre dont elle s'est fait une specialite, l'auteure entremele la transcription du proces et ses propres entretiens avec Schmeiser, des avocats, des cultivateurs, des industriels, des chercheurs, des fonctionnaires et des militants. Loin de tout manicheisme, elle met en scene son enquete, ses doutes quant aux veritables mobiles de l'accuse ainsi que son questionnement sur la possibilite de breveter et de privatiser le vivant.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.226
Teacher spread0.204 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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