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Record W2884283105

Une histoire de l'innovation et de ses usages dans l'agriculture

2018· other· fr· W2884283105 on OpenAlexfundno aff
Ludovic Temple, Yuna Chiffoleau, Jean-Marc Touzard

Bibliographic record

VenueAgritrop (Cirad) · 2018
Typeother
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
FundersMinistry of Agriculture - Saskatchewan
KeywordsPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Les travaux sur l'innovation dans l'agriculture sont relativement récents, mais s'inscrivent dans une histoire plus longue des approches du progrès technique et des transformations du secteur agricole. Ce chapitre revient sur l'histoire de l'usage de la notion d'innovation dans l'agriculture et sur les travaux dans ce domaine, en se centrant sur les contributions de l'économie et de la sociologie. Trois périodes marquent cette histoire : jusqu'à la Seconde Guerre mondiale, la notion d'innovation n'est pas utilisée dans la littérature, mais la question du progrès technique, progressivement évacuée par les économistes, s'affirme dans les sciences agricoles ; sur les 40 années qui suivent, les approches diffusionnistes de l'innovation concernent tous les secteurs, notamment l'agriculture, dont la modernisation est accompagnée par les sociologues et les économistes ; enfin, à partir des années 1980, les critiques du modèle de développement agricole antérieur sont croissantes et s'accompagnent d'un renouvellement de la pensée sur l'innovation, donnant de nouvelles perspectives pour les recherches sur l'innovation dans l'agriculture et les domaines associés.

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 categoriesMeta-epidemiology (narrow), 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 score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.003

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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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
Published2018
Admission routes1
Has abstractyes

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