Bibliographic record
Abstract
The DWWP-TAC will: provide recommendations to the Board through the Sustainability Select Committee regarding activities relating to the Drinking Water and Watershed Protection program; participate on smaller ad-hoc committees dealing with specific issues or tasks; provide advice and feedback on consultation activities with service area stakeholders; provide input and feedback on technical reports, discussion papers, and other documents prepared for the committee’s information; review and become familiar with the Drinking Water and Watershed Protection service; review and become familiar with the existing state of drinking water protection in the RDN; identify tools and techniques to be employed in the monitoring and evaluation of the Drinking Water and Watershed Protection service and its implementation; and make recommendations to increase the effectiveness of the Drinking Water and Watershed Protection service. Membership Criteria/Selection The committee will consist of 18 members. Members will be selected by the Board either through an application process or by appointment or by the member’s organization. Membership representation will be as follows: 3 members Staff member from the City of Nanaimo, City of Parksville and Town of Qualicum Beach 2 members General Public (1 north / 1 south) 1 member VIHA
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.197 | 0.109 |
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".