Bibliographic record
Abstract
In July 1875, the Hon. Alexander Morris, lieutenant-governor of Manitoba and the north-west, received a letter from Lawrence Clarke, the Hudson’s Bay Company factor at Fort Carlton, informing him that a serious state of affairs had arisen on the south branch of the Saskatchewan and strongly pressing for a detachment of the mounted police. This letter mentioned the establishment of a permanent half-breed settlement at St. Laurent and stated that the half-breeds had “assumed to themselves the right to enact laws, rules and regulations for the Government of the Colony and adjoining country of a most tyrannical nature, which the minority of the settlers are perforce bound to obey or be treated with criminal severity.” The “president” of this government was Gabriel Dumont, who was alleged to have coerced various “freemen” and Indians on the plains by seizing the property of, and levying fines upon, those who refused to acknowledge his authority. The letter continued with a statement that the Indians, too, were assuming a hostile attitude and urged that “unless we have a certain protective force stationed at or near Carlton, the ensuing Winter, I cannot answer for the result, serious difficulties will assuredly arise and life and property be endangered.”
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".