Views from the shore: An analysis of public comments on an offshore wind energy future in Nova Scotia, Canada
Bibliographic record
Abstract
Centered around concerns of climate change, energy security, and the need for low-cost clean electricity, many jurisdictions that have access to maritime areas are developing offshore wind energy. The province of Nova Scotia, Canada – home to some of the strongest offshore wind resources in the world – is one such place. Yet before development, governments need to listen, understand, and respond to the views of a diverse set of stakeholders, and affected publics. Using online and in-person open house comments, this exploratory study was conducted to determine the level and type of socio-political acceptance during the initial planning stages of offshore wind energy in Nova Scotia. Content analysis revealed that many people who participated in these consultations were initially ambivalent/unclear (with more opposed than supportive) – with regard to offshore wind energy. Consultees most opposed were Indigenous peoples/representatives, members of the general public, and Non-Government Organizations (NGOs). Thematic analysis identified six main themes, with the most referenced being concerns around biodiversity impacts and general environmental concerns. We close the paper with a discussion of the broader implications of our work, including relevance to future research, planning, and policy.
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 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 | 0.001 | 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 | 0.000 | 0.000 |
| 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 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".