Bibliographic record
Abstract
The butterfly reintroduction project was proposed in a biological assessment of the Shale Barren Rock Cress (Nott 2006) and other species endemic to the rare shale barren habitats of the Appalachians. Since the mid to late 1980’s two species of butterfly, the Grizzled Skipper (Pyrgus Wyandot) and Olympia Marble (Euchloe olympia) have been extirpated from many West Virginia shale barrens, including the Little Fork shale barren that lies within the stewardship of NIOC Sugar Grove, West Virginia. The report, submitted to NIOC Sugar Grove and the West Virginia Department of Natural Resources, concluded that these two species should be reintroduced to the shale barrens, and that the use of pesticides to control Gypsy Moth eruptions should not be permitted in the vicinity of shale barrens. The Little Fork shale barren provides an ideal location for reintroduction because a) access to high security DoD installations is extremely limited, b) Grizzled Skipper larvae feed exclusively on Canada Cinquefoil (Potentilla canadiensis) which appears to benefit from minimally invasive management of the trails and open clearings adjacent to the barren, and c) Forest Service pesticide spraying can be controlled not to impact the barren and adjacent habitat. 2008 Field Season
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.630 | 0.396 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".