The Impact of CO2 – Induced Warming on Downhill Skiing in the Laurentians
Bibliographic record
Abstract
Using the two climatic change scenarios selected by the Canadian Climate Centre, an attempt has been made, using snowcover suitability percentiles, to estimate the resilience and sensitivity of downhill skiing in the Lower Laurentians to the suggested changes in temperature and precipitation. The scenarios suggest an average winter increase in the range of 0 to 16 percent for precipitation and 7.6 to 9.3° F (4.2 to 5.2° C) for temperature. These changes could possibly result in a reduction of the marginally reliable and reliable ski seasons in the Laurentians by 40 to 89 percent respectively with a minimum financial loss of 10$ million and a maximum loss of virtual elimination of the ski industry in this area. It would appear then that downhill skiing in the Lower Laurentians has some resilience to the suggested conditions of one scenario but not the other. In addition, the sensitivity analyses indicate that the ski season length in this part of Canada is little affected until the average winter temperature increases by 4° F (2.2° C).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".