The White Man's Gonna Getcha: The Colonial Challenges to the Crees in Quebec
Bibliographic record
Abstract
Morantz, Toby, The White Man's Gonna Getcha: The Colonial Challenges to Crees in Quebec. McGill-Queen's Native and Northern Series #30. Montreal: McGill-Queen's University Press, 2002, 370 pp. Illustrations, maps. Paper $29.95, cloth $80.00. Toby Morantz, associate professor of anthropology at McGill University, established herself as leading scholar on Crees of eastem James Bay with her landmark 1983 study Partners in Furs (with Daniel Francis). In this earlier book, she showed that fur trade relationship with Hudson's Bay Company was mutually beneficial through eighteenth and nineteenth centuries. The White Man's Gonna Getcha extends study forward into twentieth century, painting a more dismal picture. If fur trade did not challenge Cree world views, missionaries, government agencies, tourists, and changing world economy did. Morantz concludes that state extension of government administration into Cree homeland-became most serious threat to Cree cultural and economic survival. Blending oral and documentary histories, Morantz seeks to demonstrate how culture of Crees mediated [the] global history of dominance and exploitation by contouring it to suit their needs (24). The Crees emerge from this study as a resilient people who adapt to changing circumstances and maintain their culture and values in face of conformist pressures exerted by southern institutions. Missionaries fought with each other over Crees' souls, but the Crees took from Christianity what they needed to help them survive in a changing society (73) while retaining aspects of traditional spirituality, particularly in bush. She explained that many Cree families faced years of misery and starvation (51) and external government intervention helped Cree overcome disappearance of beaver during 1930s and 40s. Beginning in 1950s, however, bureaucratic colonialism-the external imposition of government health, education, and welfare programs-had devastating effects, sapping [Cree society] of its ability to administer itself (26). The government's handling of financial resources and its hijacking of land drew Cree into undertow of (132), leading inexorably to loss of political and economic self-determination. Financial stinginess and ineptitude in implementing social engineering programs meant that federal government abrogated its responsibilities to Crees (177), and welfare dependency and externally-imposed governance, justice and education systems became hallmarks of village life. …
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".