Bibliographic record
Abstract
The wind energy branch of power production in Quebec was truly created at the end of the 1990's, with the commissionning of the Le Nordais wind farm in the Gaspesie region of Quebec. Thourough various tenders issued by Hydro-Quebec, the Crown corporation responsible for the supply of energy, wind generation has increased gradually to reach an installed capacity of nearly 2,900 MW. In Quebec, industrial projects (including wind farms) must be the subject of impact assessments and public hearings, according to certain parameters. Although this is a green form of energy production, wind farm projects have met with opposition on the basis of noise, which has lead to abandonment of some projects. The noise and vibration personnel at SNC-Lavalin Inc. have been involved in the Quebec's wind energy branch since its beginning and have developed a unique expertise in Quebec in terms of their ability to characterize a wind farm's initial situation, perform noise modeling, popularize technical aspects of the project at public hearings, to monitor during construction, and finally to monitor during the operational phase.
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 | 0.000 | 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".