Bibliographic record
Abstract
It was 26 September 1990 and after months of a tense stand-off over disputed land, the Oka Crisis in Quebec was at its peak. Mohawk protesters had clashed with Quebec provincial police over the decision to build condominiums and expand a golf course into a forest and burial land that the Mohawk considered sacred. In the middle of it all was 14-year-old Waneek Horn-Miller. A promising young athlete in swimming and track and field, Horn-Miller had been holed up with her family for weeks behind the blockade while her mother was a negotiator for the Mohawk resistance. During the confusion surrounding the end of the stand-off that day, Horn-Miller was stabbed in the chest with a soldier’s bayonet (figure 1). She had been carrying her 4 year-old sister, Kaniehtiio, to safety. Figure 1 (A) On 26 September 1990, on the final day of the Oka standoff, Waneek Horn-Miller was trying to leave while carrying her 4-year-old sister, Kaniehtiio, when she was stabbed close to the heart by a soldier carrying a bayonet (Photo: Ryan Remiorz/The Canadian Press). (B) Horn-Miller competes for Canada at the 2000 Olympic Summer Games in Sydney, Australia (Photo: Jeff De Booy/Canadian Press). It could have ended there. Not just because the bayonet could have ended Horn-Miller’s life—it …
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.020 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.059 | 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 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".