Ocean Heat Wave Induces Breeding Failure at the Southern Breeding Limit of the Northern Gannet <i>Morus bassanus</i>
Bibliographic record
Abstract
We document unprecedented abandonments and breeding failures by Northern Gannets in eastern Canada at Cape St. Mary’s, Bonaventure Island, and the Magdalen Islands. These events were associated with a marine heat wave during chick rearing in the late summer of 2012. The rapid onset of abandonment at Cape St. Mary’s also coincided with intense lightning and thunder during an overnight storm. Parental desertions at all colonies were transient, resolving over a period of weeks, and appeared to be food-related, resulting in the poorest breeding success on record for each of these colonies. The Northern Gannet’s primary prey during the breeding season is Atlantic mackerel Scomber scombrus, which was at historically low levels in 2012; a 2018 assessment by Fisheries and Oceans Canada classified the population in the Critical Zone. Researchers studying the effects of ocean heat waves are noticing widespread changes in marine food webs, and longer-term biophysical relationships are under investigation.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".