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Record W3009727771 · doi:10.3917/recma.343.0073

Quelle place pour les PTCE dans une perspective d’économie verte ?

2017· article· fr· W3009727771 on OpenAlexaff
Christopher Lecat, Philippe Lerouvillois, Martino Nieddu

Bibliographic record

VenueRECMA · 2017
Typearticle
Languagefr
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsCentre de Recherche Industrielle du Québec
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’étude de deux pôles territoriaux de coopération économique (PTCE) à vocation industrielle, inscrits dans des projets d’écologie industrielle et territoriale (Ardaines et Fe2i), nous permet de questionner l’inscription de l’ESS à la fois dans les secteurs industriels et dans le champ du développement durable. Ancré dans une approche en termes de patrimoines productifs collectifs, ce travail vise à montrer que la forme PTCE est une forme d’organisation de la construction des apprentissages adaptée à l’émergence des projets de création d’activités économiques et de développement territorial par la constitution de ressources collectives.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.015
Scholarly communication0.0100.009
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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 designTheoretical or conceptual
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

Citations3
Published2017
Admission routes1
Has abstractyes

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Same venueRECMASame topicSustainable Industrial EcologyFrench-language works237,207