TOXAPHENE AND OTHER PERSISTENT ORGANOCHLORINE PESTICIDES IN THREE SPECIES OF ALBATROSSES FROM THE NORTH AND SOUTH PACIFIC OCEAN
Bibliographic record
Abstract
Toxaphene and other persistent organochlorine (OC) pesticides (chlordane-related compounds [sigmaCHL], DDT-related compounds [sigmaDDT], hexachlorocyclohexanes [sigmaHCH], tris(p-chloro-phenyl)methane, hexachlorobenzene, octachlorostyrene, dieldrin) were determined in fat of Laysan albatross (Diomedea immutabilis) and in fat and eggs of blackfooted albatross (Diomedea nigripes) from the central north Pacific Ocean. The HCH isomers and chlordane- and DDT-related compounds were also determined in eggs of northern royal albatross (Diomedea sanfordi) collected in New Zealand. Toxaphene was detected in fat samples at mean +/- standard deviation (SD) levels ranging from 243 +/- 61 ng/g wet weight in Laysan albatross to 1,020 +/- 237 ng/g wet weight in blackfooted albatross. These levels were higher than sigmaCHL and sigmaHCH but lower than sigmaDDT. In eggs of blackfooted albatross, toxaphene was the major OC pesticide, averaging 513 ng/g wet weight in two pooled samples compared with 293 ng/g wet weight for sigmaDDT. Two toxaphene congeners, the octachloroborane B8-1413 (Parlar 26) and the nonachlorobornane B9-1679 (P50), comprised about 38% of total toxaphene in both albatross species. All OC compounds were present at significantly higher levels in blackfooted than Laysan albatross fat with the exception of sigmaHCH, dieldrin, and octachlorostyrene. Mean levels of sigmaDDT and sigmaHCH in northern royal albatross eggs from New Zealand were 4 and 60 times lower, respectively, than in blackfooted albatross eggs. The pattern of OC pesticide accumulation was consistent with differences in distribution of the three species in the Pacific Ocean, with highest levels in blackfooted albatross, which feed off the west coast of North America, intermediate levels in Laysan albatross, which frequent the western Pacific, and lowest levels in northern royal albatross, which are confined to the southern oceans surrounding the Antarctic.
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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 | 0.000 |
| 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".