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Record W4315565243 · doi:10.4000/geocarrefour.21053

Pour penser la territorialisation alimentaire, intégrer les inter-territorialités

2022· article· fr· W4315565243 on OpenAlex
Fabienne Barataud, Caroline Petit, Josette Garnier, Louise de La Haye Saint Hilaire, Gilles Billen, Camille Noûs

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGéocarrefour · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsASTER
Fundersnot available
KeywordsINTPhilosophyHumanitiesArtComputer scienceProgramming language

Abstract

fetched live from OpenAlex

A partir de trois situations contrastées d’un grand quart nord-est de la France, nous questionnons la manière dont la territorialisation agri-alimentaire, en plus de renforcer une certaine reconnexion entre agriculture et alimentation, engage des liens multiples avec des territoires extérieurs plus ou moins proches.En analysant à la fois les dynamiques endogènes aux territoires, les formes d’articulation entre territoires et en envisageant l’enjeu de la reconnexion entre agriculture et alimentation à la fois dans ses dimensions matérielles et cognitives, nous montrons que la territorialisation se fonde sur la création de nouvelles inter-territorialités définies par des logiques et des systèmes de valeurs différents de ceux qui prévalent aujourd’hui.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.055
GPT teacher head0.292
Teacher spread0.236 · 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