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Record W2601422145

A passive revolution?: constructing a municipal alternative to carbon markets in British Columbia.

2012· article· en· W2601422145 on OpenAlexaboutno aff
Matthew Greeno

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2012
Typearticle
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsCarbon fibersComputer science
DOInot available

Abstract

fetched live from OpenAlex

Using a Foucault-inspired critical analysis of discourse within a Gramscian framework of hegemony, this thesis analyzes how patterns of international climate change policy relate to climate policy in British Columbia (BC), Canada, and explores the patterns of resistance to carbon neutrality in a single municipality. The BC Carbon Neutral Government Strategy and the Provincial Crown Corporation responsible for stimulating the growth of the BC carbon-offset market are characterized by neo-liberalism ideology and dispossession. The District of Saanich’s policy, which establishes a local and public form of carbon offset alternative, is characterized as a form of resistance. Saanich’s policy represents a passive revolution. This thesis suggests that the discourse of ecological modernization exists within both the hegemonic climate policy structure as well as the alternative found in Saanich. This thesis also suggests that municipalities represent a political space in which a Gramscian war of position may be waged.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.677

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0180.012
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.061
GPT teacher head0.325
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

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