MESSAGE FROM THE REGIONAL GROWTH MONITORING ADVISORY COMMITTEE
Bibliographic record
Abstract
Our committee’s official name is a reminder of our original mandate – to monitor the regional district’s progress toward the goals of the Regional Growth Strategy adopted in 1997. However, the project has developed into a much larger task: to test the Strategy, and the Region itself, against the overarching principles of sustainability. We asked, Is the Regional District of Nanaimo, as we know it today, sustainable? Is the Growth Management Strategy contributing to the Region’s sustainability? What does "sustainability ” mean? Thus we became known as the Region’s "Sustainability Committee", and our work has lasted three years. We first arranged and hosted a one-day public workshop on sustainability in April, 2004, then digested and organized the rich results produced by the 200 participants. We identified approximately 150 indicators we thought would reveal much about the region’s sustainability. Westland Resources helped us choose the most useful indicators and collect available data. This year, EBA Engineering Consultants revised and edited the entire document. Over many meetings, the committee reviewed the material as it came in, discussed the implications and limitations, proposed formats and styles of presentation, corrected and clarified the text. The result is what you hold in your hands. Due to limits on resources and effort the report has some shortcomings: some of the information is incomplete and dated, and the scope is not as comprehensive
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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.020 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".