Monitoring of breeding activity of shorebirds at Alert, Nunavut
Bibliographic record
Abstract
We are monitoring the nesting activity of shorebirds. We find nests through systematic search of 12-ha plots established in a variety of habitats used by shorebirds (tundra terraces, graminoid marshes, barren ground). Some nests are also found opportunistically during other routine work. Nest locations are recorded with a GPS and revisited periodically during the nesting period to determine laying date, clutch size, hatching date and fledging success. Habitat data is also recorded in the immediate vicinity of the nest (one square metre) and in the general area. In order to estimate annual and spatial variation in predation pressure on ground nesting birds like shorebirds, random sets of 20 artificial nests are distributed over 2-km2 plots and visited twice between mid-June to late July. The fate of each egg is determined after 12 hours, 24 hours, 72 hours and then every 3 days afterwards until 90% of the nests have been depredated and/or a maximum of 12 days.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.002 | 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".