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Record W4365145338 · doi:10.1007/s42532-023-00148-8

Do the ends justify the means? Problematizing social acceptance and instrumentally-driven community engagement in proposed energy projects

2023· article· en· W4365145338 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

VenueSocio-Ecological Practice Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsDalhousie University
FundersEconomic and Social Research CouncilNational Institute of Food and AgricultureNatural Environment Research CouncilSight Research UKU.S. Department of Agriculture
KeywordsStructuringCommunity engagementPublic engagementEnergy (signal processing)Social acceptancePublic relationsSociologySocial engagementBusinessPolitical sciencePsychologySocial psychologySocial science

Abstract

fetched live from OpenAlex

Abstract Proposed energy projects across rural working landscapes play an important role in energy transitions. While community engagement has been increasingly a part of these projects, instrumental motivations for engagement and the emphasis placed on achieving social acceptance has remained uncritically examined. Here, we aim to highlight relationships between actor rationale, the structuring of engagement processes, and how communities perceive the driving forces behind engagement practices. To do so, we draw on lived experiences of communities facing proposed shale gas and wind energy projects across rural working landscapes in the UK and Canada, respectively. We find that engagement is often perceived by community members as insincere, insufficient, ineffective and instrumentally-driven. We suggest that a more community-centered approach to engagement is necessary and will require a move beyond existing engagement and acceptance practice and frameworks. This can include creating more inclusive decision-making processes where powers are balanced and designing community engagement to incorporate multiple rationales beyond achieving social acceptance of energy projects.

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)0.030
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0120.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.003
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 head0.278
GPT teacher head0.462
Teacher spread0.184 · 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