The decline of <scp>S</scp>teller sea lions (<i><scp>E</scp>umetopias jubatus</i>) in the <scp>N</scp>orth <scp>P</scp>acific: insights from indigenous people, ethnohistoric records and archaeological data
Bibliographic record
Abstract
Abstract A number of hypotheses have been proposed to explain the most recent decline (1977–2012) of S teller sea lions ( SSL ; E umetopias jubatus ) in the G ulf of A laska and A leutian I slands. We examined hypotheses about fisheries competition, environmental change, predation, anthropogenic effects and disease using observations of modern A leut and archaeological, ethnohistoric and ethnographic data from the western G ulf of A laska and A leutian I slands. These data indicate that S teller sea lion numbers have declined and recovered repeatedly over the past 4500 years and were last at critically low numbers during the 1870s–1930s. S teller sea lions appear to have been more abundant during the cool periods – and lower during the warmer periods. Observations by local peoples, explorers, early government surveyors and biologists since the late 1800s suggest that low populations of SSL have been associated with high populations of G adidae fishes ( P acific cod – G adus macrocephalus and walleye pollock – T heragra chalcogramma ) and are consistent with the ocean climate hypothesis to explain the decline of sea lions. They suggest that removals by people and killer whales ( O rcinus orca ) did not cause the sea lion declines, but could have compounded the magnitude of the decline as sea lion numbers approached low densities. Archaeological, anthropological and ethnohistorical analyses demonstrate that fluctuations have occurred in the N orth P acific over hundreds to thousands of years and provide context for understanding the changes that occur today and the changes that will continue to occur in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".