Bibliographic record
Abstract
Fishers (Pekania pennanti) are a mid-sized forest-dwelling carnivore in the family Mustelidae, once widely distributed across the northern US and Canada. Between 1800 and 1940, they were extirpated across much of their former range through commercial fur harvesting and habitat modification. Glacier National Park (GNP), which maintains a wildlife sighting database containing public and agency sighting and track records of Fishers from 1947 through the present, presumed Fishers extant in the park. Over 2007–2012, GNP made opportunistic efforts to collect Fisher DNA in hair traps but were unsuccessful. In 2013 and 2015, GNP conducted a more intensive effort to document the occurrence of Fishers by systematically placing baited hair traps within putative Fisher habitat across the park. These efforts were also unsuccessful and I show through application of Bayes' Theorem that a resident population of Fishers in GNP is highly improbable. Past credible sightings of Fishers in GNP were probably animals dispersing from occupied habitats to the west of GNP, and I suggest that regular occurrence of deep, unconsolidated winter snow may have prevented Fishers from occupying GNP in the past.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".