Plastics in stomachs of northern fulmars (Fulmarus glacialis) collected at Flemish Cap, Grand Banks of Newfoundland
Bibliographic record
Abstract
Incidental studies of plastic ingestion by the northern fulmar (Fulmarus glacialis) over a wide geographical range can improve our understanding of the distribution of marine litter in the global oceans and of the processes involved. A sample of 37 stomachs from northern fulmars (Fulmarus glacialis) collected in June 2021 near Flemish Cap at the eastern end of the Grand Banks of Newfoundland was analysed for the presence of plastic litter. Overall, 89 % of the birds contained plastic, with on average 6.6 particles, and a mass of 0.093 g per bird. No statistical differences were found in the quantity of plastic between males and females. A proportion of 27 % of all birds contained >0.1 g plastic, exceeding the Fulmar Threshold Value (FTV%) and international target of <10 %. Within an existing model that linked plastic abundance to latitude, the Newfoundland sample represented a clear outlier with a considerably lower FTV% compared to what would be expected. Flemish Cap is situated at the border between the southern tip of the cold and relatively clean Labrador Current coming from the north, and the warm and more polluted waters of the Gulf Stream further south. A logistic model using average annual sea surface temperatures representing North Atlantic current systems was applied and demonstrated a highly significant correlation, with the Newfoundland FTV% fitting much closer to the modelled prediction. This new model improves the understanding of geographical patterns in plastic uptake by fulmars.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".