Bibliographic record
Abstract
Over the last five decades hydrogeologic research has evolved through a series of different core areas. The focus has changed based on significant scientific breakthroughs within the emerging discipline and on societal priorities that have influenced funding opportunities. In recent years, significant attention and research activity have refocussed on regional groundwater assessment, one of the foundational topics in modern hydrogeology. This renewed emphasis is related to a deterioration in the apparent resilience of groundwater systems due to chronic influences of legacy contaminants, overexploitation and increased variability within the water cycle. The recent water quantity crises in the USA and western Canada, and the Source Water Protection work underway in Ontario, have illustrated some of the significant impacts on regional groundwater resources within the North American context. Emerging sensor technology, modeling platforms and increasing access to large data sets is enhancing the understanding of key processes and providing unprecedented quantitative insight within the entire hydrologic cycle at the watershed scale. Challenges remain with the optimal integration of data streams into modeling platforms to ensure appropriate parameterization and minimize uncertainty associated with the results. In this presentation, the increasing emphasis on regional hydrogeologic assessment will be discussed within the context of how it may influence the Government awareness and prioritization of groundwater in Canada as a strategic, economic and yet vulnerable resource.
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 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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".