Bibliographic record
Abstract
We are very fortunate to have Canoeing the Churchill: A Practical Guide to the Historic Voyageur Highway as the third title in the "Discover Saskatchewan" series.The two authors, Greg Marchildon and Sid Robinson, have, through their extensive research and experiences on the river, provided a significant contribution to the literature for canoeists and outdoor recreation enthusiasts.Of equal importance, their book contributes to the historical and ethnographic understanding of lives lived along this northern Saskatchewan waterway.On a personal level, each year I look forward to spending the long daylight hours of the northern Saskatchewan summer on wilderness waterways.The beauty of this lonely land draws me back year after year.I hope that through this book people from Saskatchewan and beyond will take the opportunity to understand more about this magnificent river and the people who, over the centuries, have relied on it for trade, transportation, and food.While the Churchill is a relatively isolated river in an isolated land, it still needs to be understood in an historical as well as a current context.The authors of Canoeing the Churchill provide these contexts, and it is to be hoped that readers will be convinced to treat the river with respect, in order to ensure not only that the Churchill River continues to serve its fundamental and critical role in the northern ecosystems
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.593 | 0.462 |
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".