Bibliographic record
Abstract
In April 2010, the Cities of Moncton and Dieppe, and the Town of Riverview were selected to participate in the Regional Adaptation Collaborative (RAC) program, which is a cost-shared federal program developed to identify and reduce risks posed by climate change. Under this program, each region of Canada is developing solutions for region-specific issues related to climate change. The results of this study, which was completed by AMEC, were presented to Moncton City Council in the fall of 2012. In response, Moncton City Council resolved to undertake a climate change adaptation plan and flood management strategy by June 2013. While efforts to reduce global warming remain important, there is no doubt that our climate is changing. While the City remains committed to reducing its carbon footprint, there is now both the opportunity and the need to anticipate and adapt to our changing climate as well. This document was prepared by the City’s corporate Climate Change Action Committee (CCAC). The CCAC is committed to working with Moncton City Council, the community at large, and our partners at the regional, provincial and federal levels to
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.414 | 0.222 |
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".