Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
“Two research scientists kill five bears” was the headline splashed across the front page of the Tundra Times on April 8, 1966. The perpetrators were Vagn Flyger and Martin Schein, biologists from Maryland who had just spent three weeks on Alaska’s North Slope trying to tranquilize and tag polar bears. According to Flyger and Schein’s own later report, they had in fact accidentally killed only four bears (Flyger 1967: 53). Of the thirty-eight they had pursued by aircraft over the sea ice near Barrow, Alaska, they had managed to hit seven with darts laden with a powerful muscle relaxant, of which four died of overdoses and two were unaffected. The only specimen of Ursus maritimus they managed to successfully tranquilize, tag and release was killed soon after by an Inuit hunter who complained that the dye the scientists had used had spoiled the skin.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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 it