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Record W2268911500 · doi:10.3917/maorg.025.0087

Ecologie industrielle et développement territorial durable le rôle des services

2016· article· fr· W2268911500 on OpenAlexaff
Blandine Laperche, Celine Merlin-Brogniart

Bibliographic record

VenueMarché et organisations · 2016
Typearticle
Languagefr
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Potentiellement créatrice d’effets d’agglomération favorisant la génération et l’attractivité d’activités nouvelles, l’écologie industrielle peut être considérée comme un vecteur de développement territorial durable. Mais il est nécessaire de pallier aux difficultés (techniques, économiques, informationnelles…) liées à la mise en œuvre des symbioses industrielles. Nous étudions le rôle que peuvent jouer les activités de services, publiques et privées, dans la réduction de ces difficultés. Par leurs fonctions relatives à l’organisation des relations marchandes, à l’acquisition ou au maintien des capacités par les agents ou encore à l’aide à la décision, les services peuvent réduire les coûts de transaction engendrés par la mise en œuvre de symbioses industrielles et accompagner les décisions stratégiques des entreprises.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.268
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations8
Published2016
Admission routes1
Has abstractyes

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