Leopard seal (Hydrurga leptonyx) observations and occurrences in the Southern Ocean
Bibliographic record
Abstract
Between 1993 and 1996 observations of individual leopard seals (Hydrurga leptonyx) Bird Island, South Georgia were recorded. The purpose of this study was to monitor haul out patterns, seasonality and diet of leopard seals. This sampling program resulted in a collection of photos of individual leopard seals, many of which were tagged or known individuals (based on scars or pelage patterns). The collection includes different gender and life stages and individuals exhibiting different behaviour such as feeding (Antarctic fur seal or penguin kills) or swimming. Individual seals may have been photographed multiple times. A number of individuals were tagged using Dalton Jumbotags, Dalton Supplies Ltd., UK. Other seals could be identified by unique markings (scars or pelage patterns). This resource is based upon this photo collection and includes presence information only – no information is provided to calculate density. The next version of this resource will be enhanced and include the photos associated with these observations. In addition it will also be expanded to include photos collected between 1993 to present (2016).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".