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Record W6925126800 · doi:10.17169/refubium-22457

Designed at the top, challenged from the bottom

2016· other· en· W6925126800 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · 2016
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsGermanWind powerRenewable energyGreenhouse gasState (computer science)Energy policyResistance (ecology)

Abstract

fetched live from OpenAlex

Cutting back on greenhouse gas emissions is a key motivation for governments to launch renewable energy support programmes, alongside economic objectives. Designed at national or provincial level, especially support policies for wind turbines have increasingly met with local resistance once materialising into new energy landscapes. With the literature on anti-wind discourses mainly following a single-case study approach focusing on the reasons and origins of local anti-wind sentiments, this paper takes a fresh approach to compare discourses and institutions of pro and antiwind in two beacon jurisdictions for wind energy development in North America and Europe: The Canadian Province of Ontario and the German federal state of Brandenburg. Both frontrunner jurisdictions, however, have experienced massive local anti-wind protest which has scaled up from the local level to a broader high profile debate unfolding at provincial/state level. The paper touches upon a major question in interdisciplinary transformation research: Which discourses lead to the adoption of a pro-renewable political agenda and the resulting institutional design of a decision-making system at the provincial/state scale in the first place? How are local anti-wind discourses scaled up to challenge them?

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueUniversitätsbibliothek der FU Berlin Hochschulschriftenstelle u. DokumentenserverSame topicAdvanced Electron Microscopy Techniques and ApplicationsFrench-language works237,207