Energy systems spillovers and willingness to change : a focus on the oil sands region in Alberta
Bibliographic record
Abstract
In this thesis, I examine how communities and their members in oil dependent communities perceive energy system spillovers and their willingness to change. Spillovers from energy systems, in the form of GHGs, remediation costs, and local health risks, are considered critical elements to make endogenous to economic decision if the planet is to combat climate change. \n \nThe nature of these spillovers in local communities has been partially documented, but less attention has been given to the behavioral components; i.e., to the perception of them and their riskiness and whether such perception is connected to a willingness to change. This is particularly critical for communities in regions dependent on carbon production, because such communities have long been the bulwark against change. In this regard, this study examines communities in Alberta Canada, a province heavily dependent on oil and natural gas. \n \nThrough informal interviews, participation in “Future Energy Systems” projects, and survey of three local communities – two without renewable energy and one with substantial renewables, I discovered more willingness and readiness to change than might be apparent from the outside. It would seem that some additional “nudge” incentives might be needed to aid that transition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".