The state of glacier hydrology research in Canada
Bibliographic record
Abstract
Glaciers across Canada are rapidly retreating, engendering significant implications for glacier-fed hydrological systems, ranging from aquatic ecology and groundwater recharge to downstream economic activities and traditional cultural values. Despite a well-developed body of literature regarding glacio-hydrological systems and dynamics, there has been no systematic assessment of this research to date. In response, this study adopted a systematic review methodology to examine the state of existing peer-reviewed glacio-hydrological literature in Canada (1900–2021). We found that peer-reviewed glacio-hydrological research in Canada emerged in the early 1950s and has substantially grown over the last two decades, with almost all work being done by natural scientists using field-based approaches to examine physical hydrology, water quantity and resources, and water quality in western Canada. There is a declining trend in research related to glacio-hydrological hazards and a relative lack of research related to glacier ecohydrology, human vulnerability, and adaptation. The absence of such work constrains our ability to adapt to the consequences of climatic change and other anthropogenic stressors. In highlighting these gaps, this study aims to inform research needs and contribute to evidence-based policy formation that supports regionally appropriate plans, enhancing our ability to navigate the current and future challenges facing glacio-hydrologic systems in Canada, including the human and non-human systems that depend on them.
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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 | 0.020 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.032 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".