The Future of Freshwater in Canada
Bibliographic record
Abstract
In September of 2023, the Forum for Leadership on Water and Massey College at the University of Toronto partnered to offer a symposium that aimed to bring the water community in Canada together to break down barriers, generate ideas and agree on solutions to a growing water and water-related climate crisis in Canada. The purpose of the symposium was to engage and inspire meaningful conversation and debate across disciplines, affiliations and governments with respect to policy, legislation, finance and actions needed to ensure the sustainability of Canada’s great freshwater resource. This report, produced in association with the United Nations University Institute of Water, Environment and Health (UNU-INWEH) is a summary synthesis of the proceedings of what may well turn out to be a turning point in Canadian understanding of the threats global climate breakdown and the loss of hydrologic stationarity now pose and may pose in the future to water security in this country and how we can address them. The symposium was conducted under the Chatham House Rule, which is an unwritten agreement that allows the use of information from a discussion without direct quote or attribution to a speaker or the organization they represent. Though it will identify the keynote speakers, this report will respect this rule and will highlight the ideas and discussions from the symposium without citing the specific speakers.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".