Bibliographic record
Abstract
Abstract: In the fall of 2002, the Wetland Stewardship Partnership was formed to address the need for improved conservation of wetland ecosystems (including estuaries) in British Columbia. One of the first exercises undertaken by the Wetland Stewardship Partnership was the creation of a Wetland Action Plan. The Wetland Action Plan illustrates the extent of the province's wetlands, describes their value to British Columbians, assesses threats to wetlands, evaluates current conservation initiatives, and puts forth a set of specific actions and objectives to help mitigate wetland loss or degradation. It was determined that the most significant threats to wetlands usually come from urban expansion, industrial development, and agriculture. The Wetland Stewardship Partnership then examined which actions would most likely have the greatest positive influence on wetland conservation and restoration, and listed nine primary objectives, in order of priority, in a draft ‘Framework for Action’. Next, the partnership determined that meeting the first four of these objectives could be sufficient to provide meaningful and comprehensive wetland protection, and so, committed to working together towards enacting specific recommendations in relation to these objectives. These four priority objectives are as follows: (1) Work effectively with all levels of government to promote improved guidelines and
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.780 | 0.369 |
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".