Bibliographic record
Abstract
The tidal energy industry is developing rapidly worldwide. However, it is solar and wind power that saturate the media and make up the majority of sustainable energy installations. Why is there seemingly so little activity regarding tidal energy? This research investigates challenges for tidal energy, especially targeting public perception in two countries in different hemispheres: Australia and Canada. To investigate this, a survey was distributed to people living in both countries. Scientific and academic literature was also reviewed to give insight into how the future might look regarding marine renewable energy (MRE) and offshore renewable energy such as tidal energy. Looking at previous research done in the fields of sustainability and social science and conducting a survey on public opinion, this thesis identifies some of the obstacles and challenges that the tidal energy industry faces: construction costs, technical challenges, lack of research and knowledge and social and cultural factors. With the two surveys, this study concluded that both residents in Australia (based on 64 respondents) and Canada (40 respondents) are not confident in distinguishing the difference between tidal energy and wave energy, pointing towards a gap in knowledge about tidal energy. The thesis identified communication and possibly media coverage as a solution to obstacles for the advancement of tidal energy arising from public opposition. Respondents from Australia showed a greater interest in more media coverage of tidal energy than the respondents from Canada. Both groups of respondents were concerned with their energy being green and both groups perceived tidal energy as green. The biggest concerns were the same for the two groups: disruption and injury to wildlife and impact on nearby land. The thesis also presents an evaluation of the potential for the tidal energy industry to overcome these issues and what possible solutions look like. As a multidisciplinary study, concerned with the technological, economical and human dimensions of tidal energy and its industry, it offers a multifaceted overview of various issues at hand and attempts to compile knowledge from various fields into a comprehensive look at the sustainability and viability of tidal energy.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".