Beaver sterilization project, <i>Castor canadensis</i>, in an urban setting
Bibliographic record
Abstract
Presentation The problem; The Biology of Castor canadensis; Capture procedures; The benefits of sterilisation; The Montreal Airport Project; The Farnham Garrison Project; \nOne beaver too many\nWhy is the population growing The price of beaver pelts has dropped; The lack of natural predators in urban and semi-urban areas; A species that re-produces rapidly. \nDamage Chews trees, up to 100m from the pond; Blocks up culvers with dams; Floods roads, rail tracks and farm land; Creates a welcome habitat for water fowl and increases the risk of bird strikes Airports and beavers do not mix! \nCastor canadensis (General Information) Location: Almost all of Canada and the USA. Weight: adults from 11-35 kg. Life span: Approx 20 years in captivity and 10 years in the wild castoreum, a rarity, is an oil secreted by a gland, located near the rectum, used to mark its territory Food reserves are collected towards the end of summer to carry the colony through the winter.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".