An Analysis of the Historical Records for the Native Mammalian Fauna of Prince Edward Island
Bibliographic record
Abstract
A search was carried out for historical records, both published and unpublished, that make reference to the native mammalian fauna of Prince Edward Island. Based on documents dating from 1721 to 1890, a comprehensive list of the records for the native mammals of the island has been compiled. Among the new information found is evidence for the presence of the Grey Wolf (as well as the Woodland Caribou) at the time of the first French settlement in 1720, and for the absence of the Beaver and Moose. Historical information has been assembled on the abundance and food-chain relationships of each of the mammalian species, as well as on their interactions with the European population, including the attitudes of the new settlers towards each species. The records indicate that seven of the mammals were extirpated: the Grey Wolf, American Black Bear, American Marten, River Otter, Canada Lynx, Atlantic Walrus and Woodland Caribou. All of these extirpations were due to the activities of the European population, with the attitudes of the settlers contributing to four of them: an indifference to the survival of the otter and Marten, and a direct hostility to the bear and lynx (due to their predation on livestock), leading to the payment of bounties.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".