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Record W4403240479 · doi:10.3917/ror.193.0063

Construire un commun d’énergie renouvelable. Analyse de trois projets en codéveloppement

2024· article· fr· W4403240479 on OpenAlex
Amélie Artis, Justine Ballon

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

VenueRevue de l’organisation responsable · 2024
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsRenewable energyDevelopment (topology)Environmental economicsEconomicsEngineeringMathematicsElectrical engineering

Abstract

fetched live from OpenAlex

Parmi les projets d’énergies renouvelables (ENR) participatifs français, émergent, depuis le milieu des années 2010, des projets dits en codéveloppement, associant un développeur privé, des citoyens en association et une collectivité territoriale. Encore peu étudiés, cet article en propose une analyse autour de la question suivante : en quoi le processus de coopération soutenant les projets d’ENR en codéveloppement constitue une forme de commoning de la production d’énergie participant à la « transition énergétique citoyenne » ? À partir d’une étude de trois cas, et par le prisme du commoning, nous analysons la construction sociale d’une coopération entre des acteurs hétérogènes visant la gestion collective de la production d’ENR. Nous montrons que, dans ces projets, la fabrique de communs énergétiques repose sur cinq variables : une communauté hétérogène coopérante, l’articulation de logiques plurielles (marchandes, publiques et réciprocitaires), une territorialisation des ressources, une gouvernance démocratique et la conflictualité, à condition d’être le vecteur de compromis.

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)0.005
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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