Acknowledgement: • Canadian Hunter Exploration Ltd. Travel Award
Bibliographic record
Abstract
This presentation provides an overview of recent studies of the wind flow regimes in the mountainous regions of the Yukon. There has been active wind energy research in the Yukon since 1990. Today our wind-monitoring program consists of no less than half-dozen stations that measure winds for a period of at least a year per location. The data from the sites that we have measured is analysed and will become part of a wind atlas for the Yukon. As part of our program we have been analysing weather balloon data in and around the territory and examining what other groups have done in mountain wind research. We have also been testing computer wind flow models as an important tool for helping us to explore wind energy in the mountainous regions of the Yukon. Acknowledgement In addition to the financial suporters I would also like recognise the people who have helped me the most. Those are: my partner Sally Wright for love and emotional support, J. D. Wilson for his knowledge, humour and optimism, John Maissan for giving me the opportunities, Dr Doug Craig for providing me the bridge for my passion in renewable energy research.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.596 | 0.289 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".