SPECIAL SECTION ON TWENTY YEARS AFTER KANEHSATÀ:KE: Then and Now, For the Land
Bibliographic record
Abstract
Taiaiake Alfred is from Kahnawá:ke in the Mohawk Nation. He lived in Kahnawá:ke in 1990 and worked in the intergovernmental relations office of the Mohawk Council of Kahnawake during the crisis. In this piece, he reflects on the aftermath of the events at Kahnawá:ke and Kahnesatà:ke, reflecting on why this was the moment that the Mohawk people decided to make a stand. Taiaiake Alfred vient de Kahnawá:ke dans la Nation Mohawk. Il vivait à Kahnawá:ke en 1990 et il a travaillé dans le bureau des relations intergouvernementales du Conseil Mohawk de Kahnawake pendant la crise. Dans cette contribution, il réfléchit à la suite des évènements à Kahnawá:ke et Kahnesatà:ke, analysant pourquoi ce fut le moment que le peuple Mohawk a décidé de saisir pour se revendiquer.
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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 | 0.001 | 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 | 0.008 | 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) | 0.000 | 0.000 |
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".