Bibliographic record
Abstract
With the abrupt spring thaw of 2017, the Saint Lawrence River, which circles around the island of Montreal, rose from its banks, fl ooding many villages on its shore, including the Kanien'kehá:ka (Mohawk) Indigenous community of Kanehsatà:ke.In neighboring settler towns, the Canadian Army was in charge of relief work, but for Kanehsatà:ke, whose memory was still scarred by the 1990 Oka Crisis-a two-month-long standoff between Mohawk warriors and the Canadian Army over the construction of a golf course on an ancestral cemetery-requesting assistance from the army was out of the question.Kanehsatà:ke community members thus called for volunteers to help clean up the rubbish that was left in the yards.Upon arriving there I found a large group of French Canadians who seemed fairly well organized, having brought their own shovels and pickup trucks.Many were wearing the same T-shirt depicting two hands shaking around planet Earth, under the printed word L'Alliance.I overheard the conversation they were painstakingly trying to hold with English-speaking Mohawks, attempting to overcome the age-old enmity between Mohawks and French settlers ever since explorer Samuel de Champlain slew three Mohawk chiefs with his harquebus upon their fi rst encounter, in 1609."Doesn't it feel good to be here together, having both lived on this land for so long?" said one of the members of L'Alliance, "especially when [Canadian Prime Minister Justin] Trudeau is opening the border for all those immigrants to sweep in."Quick research revealed that the so-called L'Alliance was but an offshoot of the Storm Alliance, an ultranationalist anti-immigration group who made headlines when they staged protests at the US-Canada border
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 | 0.000 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.263 | 0.091 |
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".