Bibliographic record
Abstract
On August 15th 2019, the Canadian Association for Security and Intelligence Studies hosted its monthly roundtable focusing on “Water Security as an Emergent Opportunity for Canada”. The presentation was delivered by Dr. Zafar Adeel, a serving member on the editorial boards of Sustainability Science (Springer) and New Water Policy and Practice Journal (PSO). Dr. Adeel highlighted various emerging and continuing water security threats in British Columbia, emphasizing their similarities to other global issues. He directed his talk to addressing the impacts of climate change on water insecurity and its ability to create new threats to Canada’s coastal cities. The following roundtable discussion centered around a dialogue on the persistent insecurity in Canada’s indigenous communities as a security concern describing the matter as a play off between policy and security affairs. Audience members then brought into question the suitability of using the Responsibility to Protect (R2P) doctrine to intervene where a nation’s water security is at risk and addressed the complexities of the ‘react’ pillar in intervening militarily.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.013 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".