Social licence and tidal energy development in Nova Scotia, Canada
Bibliographic record
Abstract
Nova Scotia is a global example of a region taking advantage of its vast tidal energy resources through tidal energy testing and development. Alongside innovations in tidal energy technology, social and economic factors must also be considered, especially the extent to which a social licence has been developed. Social licence, which is the ongoing approval or social acceptance of a project in a community, must be developed for communities to support and approve of a project or development. This research explores factors that support the development of social licence in the context of tidal energy in Nova Scotia, Canada. These factors include the importance of public education, the significance of baseline research, an understanding of the technology and its impacts, and the role of community and economic development. Interviews with a variety of key stakeholders in the tidal energy development industry provide insight into the role these four factors play in supporting a social licence. While these four factors are significant, other critical principles include legitimacy, credibility, and trust
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".