Bibliographic record
Abstract
Skana looked sick. On September 18, 1980, she failed to finish her show, and the next day she remained sluggish. Murray Newman and his staff were concerned. Along with Hyak II (formerly Tung-Jen), she was the Vancouver Aquarium’s biggest draw. In the thirteen years since Ted Griffin had captured her, Skana had been the star of Stanley Park, giving millions their first close-up view of a killer whale. And through her impact on Paul Spong and Greenpeace, she had helped reframe the international whaling debate. She may well have been the most influential cetacean in history, but she grew weaker each day, and despite heavy doses of antibiotics, she succumbed on Sunday, October 5. The necropsy revealed a fungal infection in her reproductive tract. Although aquarium officials were correct in noting that she had lived longer in captivity than any other killer whale, she was still young—no more than twenty. She might have lived fifty more years in the wild. Skana’s death left Hyak alone. He had come from Pender Harbour in 1968 as a small, frightened calf, and now he was a sexually mature male in need of a mate. Yet the acquisition of killer whales was no simple matter. The Department of Fisheries had stated that it would allow wild capture to replace orcas who died in captivity, but the Vancouver Aquarium hadn’t caught a killer whale since Moby Doll in 1964, and if it tried now, activists would surely oppose it. “I knew it would be unpopular for us to try to capture a live killer whale locally and felt a little frustrated about it,” Newman admitted. “To my mind, the entire awareness of the killer whales’ right to live was brought about by aquariums exhibiting these animals.” With nearby waters out of play, he looked to Iceland, which had become the primary source of captive orcas in recent years. After receiving the Canadian government’s permission to import whales, Newman boarded a plane for Iceland, arriving at Keflavik International Airport in the early morning of December 13, 1980.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.811 | 0.680 |
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".