Structure and dynamics of the vegetation in Wapusk National Park and the Cape Churchill Wildlife Management Area of Manitoba, community and landscape scales
Bibliographic record
Abstract
This study, in Wapusk National Park and the Cape Churchill Wildlife Management Area of northern Manitoba, uses a combination of satellite imagery (1996 Landsat-5 TM mosaic) and extensive ground data to characterize the vegetation of the region at both the landscape and community scales. Field data on the floristic composition, moisture, and vegetation structure were collected at 600 sites throughout the study area between June and September of 1998-2000. From these data, sites with highly unique floristic characteristics, disturbance features, and unvegetated sites were recognized as distinct vegetation types and removed from further analysis. The remaining 272 sites, containing 114 species, were sorted into 6 major vegetation types using cluster analysis. Canonical correspondence analysis (CCA) was then used to examine the extent to which trends in the vegetation types reflect environmental variability. Vegetation types were examined in order to identify a set of 16 classes that were suitable for mapping at the landscape scale using satellite imagery. (Abstract shortened by UMI.)
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".