Bibliographic record
Abstract
With Good Intentions examines the joint efforts of Aboriginal people and individuals of European ancestry to counter injustice in Canada when colonization was at its height, from the mid-nineteenth to the early twentieth century. These people recognized colonial wrongs and worked together in a variety of ways to right them, but they could not stem the tide of European-based exploitation. The book is neither an apologist text nor an attempt to argue that some colonizers were simply “well intentioned.” Almost all those considered here – teachers, lawyers, missionaries, activists – had as their overall goal the Christianization and civilization of Canada’s First Peoples. While their sensitivity and willingness to work in concert with Aboriginal people made them stand out from their less sympathetic compatriots, they were nonetheless implicated in the colonialist project, as the contributors to this volume make clear. By discussing examples of Euro-Canadians who worked with Aboriginal peoples, With Good Intentions brings to light some of the lesser-known complexities of colonization. This volume is an important resource for anyone interested in Canadian history, particularly post-Confederation history, and in Native studies and issues of colonization of Native peoples.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.010 |
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".