University of New Brunswick: Harbour seal (Phoca vitulina) abundance, distribution, and behaviour in the Saint John Harbour as observed between April-August in 1999 and 2000
Bibliographic record
Abstract
Harbour seal (Phoca vitulina) abundance, distribution, and behaviours were examined in the Saint John harbour, Saint John, New Brunswick as part of a UNB Department of Biology honours project (Browne, 2001). The study was conducted from May-August in 1999 and April-August in 2000. Seal counts in the water were made with respect to tide, time of day and season, human activities and disturbances.Seal counts were compared to peaks in fish runs of gaspereau (Alosa pseudoharengus) and Atlantic salmon (Salmo salar). Fishers of the Saint John harbour were interviewed to document interactions between seals and fisheries.Seal observations recorded as part of this thesis project (Browne, 2001) were rescued and reformatted as part of an Atlantic Ecosystem Initiative activity.This version of the resource contains observations of the harbour seals - associated information on behaviour and occurrence of grey seals and gaspereau is not included in this version.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.017 |
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".