Bibliographic record
Abstract
The fur trade was the heart of the French empire in early North America. The French-Canadian (Canadien) men who traversed the vast hinterlands of the Hudson Bay watershed, trading for furs from Indigenous trappers and hunters, were its cornerstone. Though the Canadiens worked for French colonial authorities, they were not unwavering agents of imperial power. Increasingly they found themselves between two worlds as they built relationships with Indigenous communities, sometimes joining them through adoption or marriage, raising families of their own. The result was an ambivalent empire that grew in fits and starts. It was guided by imperfect information, built upon a contested Indigenous borderland, fragmented by local interests, and periodically neglected by government administrators. Heirs of an Ambivalent Empire explores the lives of the Canadiens who used family and kinship ties to navigate between sovereign Indigenous nations and the French colonial government from the early 1660s to the 1780s. Acting as cultural intermediaries, the Canadiens made it possible for France to extend its presence into northwest North America. Over time, however, their uncertain relationships with the French colonial state splintered imperial authority, leading to an outcome that few could have foreseen – the emergence of a new Indigenous culture, language, people, and nation: the Métis.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.039 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".