The Ontario nuclear power dispute: a strategic analysis
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 Background The Graph Model for Conflict Resolution methodology is used to formally investigate the nuclear power dispute that took place in the Canadian province of Ontario in order to obtain strategic insights into its resolution. This flexible systems methodology is used to study the nuclear conflict at two key points in time, 2008 and 2010. Results The results of the 2008 analysis show that the only decision makers involved in the conflict who hold real power are the Federal and Ontario governments, although at the beginning of the investigation other organizations had also been considered as participating decision makers. According to a strategic analysis carried out for the conflict as it existed in 2010, the equilibria or potential resolutions of the 2008 analysis are found to be transitional states leading to the 2010 resolution. Moreover, a negative attitude by the Federal Government can cause an outcome to occur that is not highly preferred by either the Federal Government or the province of Ontario. Conclusions By closely following the decision makers’ actions, a detailed analysis of the nuclear dispute in Ontario is carried out. Stability, sensitivity, and attitude analyses are performed, and the results are closely correlated with what happened in reality.
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.
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 | 0.017 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.008 |
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