Pushing the Ecological Niche: A Sea Wolf Called Takaya
Bibliographic record
Abstract
Can you introduce Takaya – a highly unusual individual from Canada's west coast populations of sea wolves? A wild male wolf lived for eight years alone on a small cluster of islands off the south end of Vancouver Island and came to be known as Takaya, which is the Indigenous Coast Salish word for wolf (or ‘Staqeya’ in the Lekwungen dialect of the local Songhees Nation). He was one of a unique population of wolves called coastal or sea wolves that live in the coastal habitats of British Columbia and the Alexander Archipelago of Alaska. Sea wolves are genetically distinct from inland grey wolves and represent adaptation to a unique environment (Munoz-Fuentes et al 2009), inhabiting shorelines and islands to the west of British Columbia's Coast Mountain range. According to an article in a 2015 issue of National Geographic magazine (McGrath 2015), ‘Gray wolves have adapted to the diverse ecosystem of British Columbia's Coast Mountains since the end of the last ice age. In the outer shore temperate rain forests there are two types of coastal wolves which researchers suggest diverged from a common gray wolf ancestor into what's called an evolutionarily significant unit, or an ESU, that is worthy of consideration’ (Darimont and Paquet 2000). These sea wolf populations are sometimes divided into coastal island and coastal mainland wolves. The coastal mainland wolves have greater access to traditional prey such as black-tailed deer and small mammals, and they also eat salmon during the spawning season, whereas the coastal island wolves rely on marine life such as barnacles, crabs, clams, squid, seals, sea otters, the carcasses of whales, and other sea life that washes up on the beaches. At one time, the sea wolf population extended from Alaska to California, but now their populations exist primarily from southeastern Alaska down to north of Vancouver, BC, including Vancouver Island, which is believed to hold approximately 150–200 animals. There is currently no estimate available for the number of sea wolves on the BC mainland and adjacent islands.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".