Long-term monitoring of the abundance of small mammals on Akimiski Island, Nunavut
Bibliographic record
Abstract
Monitoring of species composition and abundance of small mammals (voles) has been conducted on Akimiski since 2004. In 2008-2009, three transects were established for live-trapping purposes, one through each of three habitat types. The tall grass/willow transect was allotted 300 m, and the spruce-boreal forest transect, as well as the dwarf willow transect were allotted 150 m of transect. Each transect was divided into 15 m sections equipped with a trapping station consisting of two or three Sherman folding live traps set out around the station within a 3 meter radius. Transects were at least 100 m apart from each other. Traps were baited apple and peanut butter mixture, and furnished with cotton bedding. Trap checks were performed twice a day, once in the morning and once in the evening. Weight, length and sex were taken, and a permanent marker stain was applied to the inside leg in order to identify recaptured individuals. In addition, ArcticWOLVES protocols for runway and nest counts were modified for use in the linear coastal habitats of Akimiski Island. ** Data from the IPY years 2007-2009 are available for download. If data are downloaded and used for analyses, it would greatly be appreciated that the principal investigator be informed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".