AND MARINE BIODIVERSITY CONSERVATION VISION IN NOVA SCOTIA
Bibliographic record
Abstract
In May of 1999, a workshop was held to lay the groundwork for a conservation plan to maintain and restore terrestrial and marine biodiversity. The products of the workshop include vision maps and recommendations for biodiversity conservation in Nova Scotia. The wild lands conservation vision identifies existing protected areas, areas suitable for filling gaps in the representation of natural landscape types, and other areas of significant ecological value. Four types of conservation areas are proposed: 1) core areas, to be managed primarily for ecological processes; 2) connectivity zones between core areas; 3) aquatic/marine zones around islands, headlands, bays, lakes and rivers; and, 4) compatible use zones, which provide a buffer function while allowing for human uses. The wild seas conservation vision includes five conservation categories: 1) marine management units; 2) marine protected areas (MPA’s) selected with particular attention to the benthic zones (ocean floor); 3) core “no take ” zones in areas of unique or sensitive features, species or assemblages; 4) a special management zone for larval retention; and, 5) a “no-dragger ” zone to protect fragile deep sea corals.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".