Manitoba Tall Grass Prairie Preserve: Providing Habitat for Protected and Provincially Rare Species
Bibliographic record
Abstract
The establishment of the Manitoba Tall Grass Prairie Preserve in 1989 secured some of the largest and highest quality parcels of tall grass prairie remaining in the province. Shortly after securement by either Nature Manitoba (formerly Manitoba Naturalists Society) or Manitoba Habitat Heritage Corporation, seasonal staff from the Critical Wildlife Habitat Program (CWHP) began inventory efforts to document the various floral and faunal species occurring on these acquisitions. With the addition of the Nature Conservancy of Canada to the Preserve partnership, the Preserve has grown in size to nearly 5,000 ha. The list of species identified on the Preserve has also increased. To date, over 900 species have been documented for the area, several of which are considered rare and have been listed under the federal Species At Risk Act (SARA), the Manitoba Endangered Species Act (MB-ESA) and in a few cases, both acts. The Preserve also provides habitat for many provincially rare species, some of which have very limited distributions (Manitoba Conservation Data Centre 2012). Rarity of a species is assessed and assigned a provincial conservation status rank known as the S-rank (Manitoba Conservation Data Centre 2012).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".