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Record W4200554041 · doi:10.4000/ethnoecologie.7260

Les maïs natifs du nord, centre et sud du Mexique

2021· article· fr· W4200554041 on OpenAlexaffabout
Elena Lazos‐Chavero, Michelle Chauvet

Bibliographic record

VenueRevue d’ethnoécologie · 2021
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Les maïs natifs sont le patrimoine bio-culturel des paysans indigènes et métis de tout le pays. Leur culture, du fait des conditions agroécologiques et climatiques spécifiques, est source de processus identitaires intercommunautaires. Le maïs fait partie de la culture alimentaire du paysan mexicain, de son appartenance historique et communautaire ainsi que les valeurs et les symboles partagés qui s’y rattachent. Dans cet article, seront discutées les caractéristiques aliénables et inaliénables du maïs et la vulnérabilité de ce binôme, pour rehausser son importance dans la création de la biodiversité des maïs natifs. Dans le but de reconnaître que tout le territoire national est centre d’origine et de diversification du maïs, un parcours de la diversité des mosaïques agricoles dans le nord, le centre et le sud du pays a été effectué. Finalement, on démontre les risques de concevoir les maïs uniquement comme capital naturel.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.254
Teacher spread0.208 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

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Same venueRevue d’ethnoécologieSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207