Walruses in West Greenland: Where do they belong?
Bibliographic record
Abstract
Historically, Atlantic walruses (Odobenus rosmarus rosmarus) were heavily exploited on their wintering grounds in Central West Greenland (CWG; 67º-71º30´N). Walruses in this area are still exploited and the group is thought to be much below historical population size. However, the demographic identity of walruses in CWG remains undetermined. Genetic studies indicate that CWG-walruses have only little exchange with walruses in Northwest and East Greenland. However, a comparison between walruses from Hudson Strait (HS) in Canada) and CWG indicated a source (HS)-sink (CWG) relationship between these areas. During March 2005, satellite tags were deployed on three walruses in CWG. The tags were applied from a distance by use of a CO2-powered gun. Two of the animals remained at the wintering grounds during the life of their transmitters (< 1 month), whereas the third (adult female with calf) transmitted for more than 3 months during which time she moved from CWG west to SE Baffin Island (SE BI). Hence, the studies supported a suspected connection between walruses in CWG and the HS-SE BI area. Future studies include a genetic comparison of biopsies from SE BI and CWG, and deployment of satellite tags on walruses at SE Baffin Island.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".