Bibliographic record
Abstract
ii Executive Summary The Vancouver Island Water Resources Vulnerability Mapping Project (VMP) was initiated in 2006 by the Vancouver Island Watershed Protection Steering Committee, with a goal of improving land-use decision-making tools concerning the preservation of groundwater quality. The VMP is a collaborative project between the BC Ministry of Environment, Vancouver Island University, Natural Resources Canada, and the Vancouver Island Health Authority. It was determined that intrinsic vulnerability maps would be developed to characterize the vulnerability of aquifers to contamination. Effective tools for decision-makers, these vulnerability maps identify where aquifers are vulnerable to contamination from various high risk land-use activities. The DRASTIC methodology developed by the U.S. Environmental Protection Agency was used in the pilot study to complete intrinsic groundwater vulnerability mapping for two of the seven regional districts on Vancouver Island – Nanaimo (RDN) and Cowichan Valley (CVRD). This methodology identifies seven parameters that influence groundwater vulnerability, each represented by a letter in the DRASTIC acronym: D – Depth to water, R – net Recharge, A – Aquifer medium, S – Soil medium, T –
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.486 | 0.314 |
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".