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Record W7113233080

Carbon Accountability Politics: Measurement and Management of Urban Energy Transitions in Toronto and Edmonton

2024· article· en· W7113233080 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityCorporate governanceClimate governanceCarbon accountingScholarshipCommissionGreenhouse gasPolitics
DOInot available

Abstract

fetched live from OpenAlex

Carbon accounting is typically used to express climate change progress and assess the potential impact of new policies. Yet as critical accounting scholarship already contends, carbon accounting is just one epistemological lens through which we might understand society’s complex relationships with climate and imagine alternative energy futures. In this dissertation, I explore the development of bottom-up methods for carbon accounting used at the local level, drawing attention to the nature of assumptions and exclusions that have gone into establishing a common framework to compile local territorial accounts of carbon. I then introduce a new phenomenon emerging amongst municipalities referred to as carbon accountability. Carbon accountability is about more than measurement: it is premised on institutionalizing a carbon lens in local governance, where the limited world of the carbon accounting framework more directly shapes everyday decision making in municipalities. This accountability project emerges from a new relationship between scientific expertise at the global level and local territories, mediated through the recent development of internationally standardized urban accounting protocols. Data-driven climate governance is now assumed to involve the direct application of global scientific expertise in urban planning and policymaking. Yet these accounting frameworks struggle to represent how local projects intervene in much wider urban energy processes that are the basis of global climate change. The dissertation explores carbon accountability politics in two Canadian case studies, the cities of Toronto and Edmonton. Both have recently pursued international leadership by adopting new carbon-based governance tools. In 2022, Toronto was the first City worldwide to independently commission an in-house energy-economy optimization model to lead implementation of its climate action plan, TransformTO. That same year, Edmonton released North America’s first Carbon Budget as a framework to integrate carbon into the annual financial budgeting process. Grounding the research in these case studies, I draw from interviews with municipal actors and relevant technical experts, as well as analyses of climate action planning and implementation challenges, to examine the contradictions of offering management solutions to overcome enduring local climate action constraints. The dissertation finds that expectations urban systems can be rigorously quantified to direct local action often do not align with the limits of emissions quantification and the complex nature of urban politics. I take the example of waste-to-biofuel partnerships in Toronto and Edmonton to illustrate the possible system-level contradictions of local emissions-reducing projects, emphasizing how and why urban energy processes often elude quantitative representation. In its normative goal to entrench and naturalize a carbon accounting framework, carbon accountability not only poses new democratic legitimacy concerns, it also misdirects action away from more systemic transformations of urban energy systems.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.001
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 head0.021
GPT teacher head0.236
Teacher spread0.215 · 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 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
Published2024
Admission routes1
Has abstractyes

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