Bibliographic record
Abstract
On a cold November in 1969 a gentle snow fell on the town of Bossburg, Washington, enveloping the area in forest quiet. Rumors had been rolling around the local populace during the Thanksgiving holiday about strange goings-on involving big, hairy shapes in the woods. Following up on the talk, local wilderness guide, trapper, and cougar breeder Ivan Marx came to Bossburg one evening to investigate and found Sasquatch tracks near the municipal dump. He had been alerted by butcher Joe Rhodes to keep an eye out for the tracks. Hikers, construction workers, trappers, and hunters had been finding such tracks all over the western United States and Canada, causing a stir in the local media. Rhodes also told Marx about a woman who stumbled across a creature lurking in the area the previous spring. Some sheriff's deputies arrived to look into the woman's story. They nosed about unenthusiastically accomplishing little more than exchanging snide remarks.KeywordsAmateur NaturalistProfessional ScientistUnknown AnimalMunicipal DumpThanksgiving HolidayThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".