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Record W7140233514 · doi:10.21083/crrf.v29i1.7745

Nature of Co-management in Community-owned Renewable Energy Project: A Comparison between Canada and EU Countries

2025· article· W7140233514 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRenewable energyEnergy policyTechnocracyCorporate governanceFeed-in tariffLocal communityDecentralizationState (computer science)Residence

Abstract

fetched live from OpenAlex

Co-management is a governance system which is consisted with the sharing responsibilities, entitlements, decentralized institutional rules and agreements between the state and local community for maintaining certain resources. Community owned renewable energy (CRE) is such kinds of collaborative energy management where both state, regional and others nongovernmental organizations has been involved. However, very few numbers of study focus on the co-management aspects of CRE. This study explores the patterns of co-management including policy regulations, ownership structure, stakeholder’s participations and decision making process of CRE both in Canada and EU by the summative content analysis method. Study found that different EU countries have applied miscellaneous effective policy tools like Feed-in-Tariff, Feed-in-Premium, Community and Renewable energy scheme, Local energy activism. Consequently, manifolds energy cooperative and community based ownerships have been developed and local residence could be engaged in highest level of participation ladder. Where as most of the Canadian renewable energy policies are more technocratic and accelerating “energy developer” oriented commercial ownership. Therefore, public participation of these renewable energy project is like "Decide-announce-Defend”. Strong decentralized governance, awareness rising and policy reformation should be increased for prolific renewable energy co-management.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.290
Teacher spread0.277 · 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