Improving the Ecological Function of the Upper Bow River: Bow Lake to Kananaskis Dam
Bibliographic record
Abstract
The growing population of Canmore, Alberta, Canada and new communities proposed downstream, growing industrialization within the Bow Valley, a changing climate and increasing pressure for water withdrawals will make maintaining the ecological health of the Bow and the fish, people and animals that depend on it even more challenging in years to come. This study aims to catalogue, assess and understand the biological impacts of these alterations—dams, roads, channelization, culverts, stocked non-native fish, etc. The authors' goal is to assist stakeholders and river managers to improve their efforts to reverse these human caused impacts. The authors envision a day when native fish populations are restored and overall ecological integrity returns to this important and beautiful watershed. Informed by a significant collaborative process between government agencies, non-profit conservation groups, and river users, the process used to generate this report gives the authors hope that many will join together in working to realize the vision of an ecologically healthy upper Bow River.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".