Playing Defence: Early Responses to Conflict Expansion in the Oil Sands Policy Subsystem
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.
Bibliographic record
Abstract
Abstract. This article examines how powerful policy actors defend themselves against opponents' strategies of conflict expansion through a case study on the oil sands of Alberta. In response to an escalation of criticism of its performance on environmental regulation and related issues, the government of Alberta has pursued a strategy of engaging in several multi-stakeholder consultations. We argue that in examining subsystem change, it is essential to go beyond an examination of formal institutional mechanisms to examine policy impacts. Thus far, despite a significant pluralisation of consultative mechanisms on the oil sands, there is little or no evidence of a shift in power away from pro-oil sands interests. This strategy of selective opening is designed to bolster the legitimacy of the policy process while maintaining control over decision rules and venues. Résumé. Cet article étudie le rapport de force et la stratégie de défense des acteurs politiques lorsqu'un conflit dégénère, comme cela s'est produit dans le dossier des sables bitumineux de l'Alberta. Devant une recrudescence des critiques à l'égard de sa performance au chapitre de la réglementation environnementale, le gouvernement de l'Alberta a adopté une stratégie qui consiste à effectuer des consultations avec plusieurs intervenants. Nous soutenons qu'en examinant les changements du sous-système, il est vital d'aller au delà de la simple étude des mécanismes institutionnels pour évaluer l'impact des politiques. En dépit de la pluralité des mécanismes de consultation mis en place, rien ne semble indiquer qu'une partie quelconque du pouvoir ait échappé aux acteurs de l'exploitation des sables bitumineux. Cette stratégie d'ouverture sélective est conçue pour renforcer la légitimité du processus politique tout en gardant le contrôle sur les prises de décision et les centres décisionnels.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it