PIROP Northwest Atlantic 1965-1992
Bibliographic record
Abstract
Original provider: Canadian Wildlife Service Dataset credits: Falk Huettmann & John W. Chardine, Canadian Wildlife Service Abstract: The PIROP (Programme Intégré de recherches sur les oiseaux pélagiques) data set, Atlantic subset, consists of geo-referenced vessel-based surveys to monitor pelagic seabirds. Most surveys were carried out by R.G. B. Brown from 'vessels of opportunity' supplied by the Bedford Institute for Oceanography (BIO) in Dartmouth/Halifax, but many other platforms and observers were used, too. During these surveys observations other than seabirds were also recorded, e.g. Waterfowl, Waterbirds, Songbirds, Raptors, Owls, Sea Mammals, and other sightings of interest (weather, oceanography, vessel activities, bird behaviour, etc.). The data collection period covers all seasons of 1966-1992, with most surveys being conducted between (late) summers of 1975-1987. The survey protocol originally consisted of unlimited width 10min transects, but was changed appr. 1984 towards a Tasker et al. (1984) type of survey (fixed-width strip transect). However, data and results from the PIROP database need to be interpreted as relative, and not absolute, abundance.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.021 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.046 |
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".