Bibliographic record
Abstract
On september 21, 1967, Vancouver columnist Himie Koshevoy of the Province newspaper witnessed an unexpected Cold War encounter. Soviet minister of fisheries Alexander Ishkov had come to see the Vancouver Aquarium, and Murray Newman invited the reporter along. Ishkov had visited in 1956, when construction of the aquarium was still underway, and he was so impressed that he carried a copy of its plans back to Moscow. Eleven years later, he had returned for a grand tour, and Newman was happy to oblige. He showed his Soviet guest around the exhibits, proudly noting that each year forty thousand schoolchildren visited the aquarium, “gaining knowledge of their coastal environment.” Like most visitors that year, Ishkov was especially eager to see Skana, Vancouver’s captive killer whale. According to Koshevoy, what ensued between communist fishing minister and US-caught orca amounted to “a Little Yalta.” With “squeals of delight,” Skana showed off her acrobatic feats, earning a handful of herring for each one. Although Ishkov may not have grasped the significance of Skana “profiting through her labors,” Koshevoy quipped, the Soviet official clearly enjoyed the performance. When his hosts suggested Ishkov try feeding Skana himself, however, he hesitated. “You could almost see the thoughts racing,” mused Koshevoy. “Was she a potential aggressor? Could he deter an attack? The first-strike ability was clearly on the whale’s side.” Finally, coaxed by trainer Terry McLeod, Ishkov made his démarche, and Skana accepted. As Ishkov smiled and rubbed the whale’s head, it was clear the crisis had passed. The interspecies summit closed, Koshevoy noted, with “mutual expressions of goodwill on all sides.” It was a waggish depiction of the visit, to be sure. Although the Soviet official didn’t want to look skittish in front of his North American hosts, the Cold War was likely far from his mind as he dropped herring into Skana’s maw. Ishkov shared Newman’s interest in fish and marine mammals, and he had recently outlawed the killing of small cetaceans in Soviet waters. Yet he was undeniably part of the political world, and he represented a Soviet empire that was asserting its interests around the globe.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.036 | 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".