Bibliographic record
Abstract
Looking for the best places to cross-country ski and snowshoe in Ontario? The Ulysses Cross-Country Skiing and Snowshoeing in Ontario guide has them covered! In this unique guide, you’ll find clear directions, detailed descriptions and a list of the author's favourite trails. Cross-Country Skiing and Snowshoeing in Ontario covers more than 200 skiing and snowshoeing areas all across the province, from the Greater Toronto Area and the Niagara Peninsula to the great expanses of Northern Ontario. Several long-distance multi-region trails are also covered, including the Bruce Trail, the Voyageur Trail, the Trans Canada Trail and the Waterfront Trail. Clear indications of difficulty levels are provided, and some 20 detailed maps will help you get around. You’ll even get a quick Ontario geography lesson and a winter-bird checklist to help you better appreciate your surroundings, as well as advice on off-season training, what to wear, trail etiquette and cross-country skiing and snowshoeing techniques. All this, plus the art of ski waxing demystified!
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".