MétaCan
Menu
Back to cohort
Record W6917606242 · doi:10.58079/dba

La gouvernance des terroirs du vin. Entre local et mondial, au nord comme au sud

2008· other· fr· W6917606242 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2008
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTerroirQuarter (Canadian coin)European unionBeaker

Abstract

fetched live from OpenAlex

L’unité Aménagement, développement, environnement, santé et sociétés (UMR ADES 5185 – Univ.Bordeaux 3 / Univ. Bordeaux 2 / CNRS), propose un séminaire dont la problématique centrale retenue est celle de la nature de la gouvernance des terroirs au nord comme au sud, entre le local et le mondial. La récente crise a abouti entre autre à la remise en question de la gouvernance des vignobles en Europe et tout particulièrement en France. Notre objectif est donc de réaliser un état des lieux sur l’actualité et les perspectives de la gouvernance des terroirs du vin en ce début de XXIe siècle.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.154
Threshold uncertainty score0.307

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.002

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 head0.023
GPT teacher head0.254
Teacher spread0.232 · 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 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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueOpenEdition (OpenEdition)French-language works237,207