Bibliographic record
Abstract
For two months, Sam Burich had sat at East Point, on the jagged edge of Saturna Island, staring across the Strait of Georgia and waiting for killer whales. The thirty-eight-year-old Croatian immigrant was not a whaler but a sculptor by trade, though he dabbled in fishing to make ends meet. He had come to East Point at the behest of the Vancouver Aquarium to harvest a whale, not for its blubber or meat but for its body—its form. To pass the time, he played his harmonica, carved hieroglyphs in the sandstone, and chatted with his assistant, twenty-six-year-old fisherman Josef Bauer. On this Thursday, July 16, 1964, just after 11:00 a.m., orcas came into sight. It was J pod, making its way north in pursuit of Fraser River chinook. Bauer saw them first and raced over to load their mounted harpoon gun. Then Burich took over. He knew he would have only one shot as the orcas passed. Most of them were out of range, and Burich needed to hit a whale small enough to kill. Soon he spotted his target, a youngster bobbing along playfully just ninety feet away. Burich took aim and pulled the trigger, detonating the one-and-a-half-ounce powder charge. The steel harpoon, four feet long and two inches thick, hit home. At first, Burich couldn’t believe it, but Bauer’s shouts convinced him. Struck just behind the head, the animal appeared stunned. Burich and Bauer rushed to their boat, the forty-foot Corsair II, moored in a nearby cove. As the men approached the whale, they found a surprising scene. Rather than fleeing from danger, the other orcas had surrounded their injured podmate, raising it to the surface to breathe. It was a touching sight, but Burich knew the reputation of these beasts. Worried the whales would retaliate, like those shot by Marineland’s collectors two years earlier, he and Bauer hung back. Within an hour, the pod had left, and the two men moved in for the kill. But the little orca didn’t want to die.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.403 | 0.239 |
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".