Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<b>Abstract</b><br/><p>We tested the hypothesis that segregation in wintering areas promotes population differentiation in a sentinel North Pacific seabird, the rhinoceros auklet (<i>Cerorhinca monocerata</i>). We collected tissue samples for genetic analyses on five breeding colonies in the western Pacific Ocean (Japan) and 13 in the eastern Pacific Ocean (California to Alaska), and deployed light-level geologgers on 12 eastern Pacific colonies to delineate wintering areas. Loggers were deployed previously on one colony in Japan. There was strong genetic differentiation between populations in the eastern vs. western Pacific. Deep-ocean habitat along the northern continental shelf appears to act as a barrier to dispersal; abundant in the western and eastern Pacific Ocean, the rhinoceros auklet is virtually absent as a breeder in the Aleutian Islands and Bering Sea, and no loggered birds crossed the North Pacific in the non-breeding season. Late Pleistocene glaciation over the North Pacific also might have forced a southward range shift that isolated the western and eastern populations. While genetic differentiation was strongest between the eastern vs. western Pacific, there was also extensive differentiation within both regional groups. In pairwise comparisons among eastern Pacific colonies, the standardized measure of genetic differentiation (F’<sub>ST</sub>) was negatively correlated with the extent of spatial overlap in wintering areas. That result supports the hypothesis that segregation in the non-breeding season promotes genetic structuring. Strong natal philopatry and a neritic foraging habit probably also play roles. Widely distributed, vulnerable to anthropogenic stressors, and exhibiting extensive genetic structure, the rhinoceros auklet encompasses the scope of the conservation challenges posed by seabirds.</p>
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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 it