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Record W3004949501 · doi:10.4000/geocarrefour.13873

Le retour des ceintures maraîchères ? Une étude de la proximité géographique des AMAP en Bouches-du-Rhône (2006-2015)

2019· article· fr· W3004949501 on OpenAlexaff
Noé Guiraud

Bibliographic record

VenueGéocarrefour · 2019
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesGeographyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les Amap sont un système alternatif de commercialisation alimentaire qui a été créé dans l’optique de rapprocher consommateurs et producteurs. L’organisation des Amap repose sur la relocalisation de l’échange alimentaire. En voulant observer les implications géographiques de cette organisation nous interrogeons aussi leur territorialité. Pour ce faire nous nous appuyons sur trois recensements des lieux de distribution et des fermes maraîchères en Bouches du Rhône, en 2006, 2010 et 2015. Nous montrons comment le système spatial des Amap repose sur trois relations spatiales : l’inter-relation des lieux du système Amap, le rôle des géographies agricoles et urbaines, et la distance comme indicateur du graphe géographique de l’Amap. Nous en tirons une typologie des Amap, qui rend compte de leurs rapports différenciés au territoire.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.114
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.201
Teacher spread0.196 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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