Bibliographic record
Abstract
The emphasis on culture in studies of colonialism tends to obscure other forms of colonial power while making it impossible to contextualize the cultural argument and assess its salience. Rather than focusing on texts, systems of signification, and procedures of knowledge generation, as the colonial discourse literature is wont to do, a fuller understanding of colonial powers is achieved by explaining colonialism's basic geographical dispossessions of the colonized. In so doing, the issue of power is not prejudged and the particular roles of different modes and theories of colonial power come into focus. I explore these propositions by considering the powers underlying the reserve (reservation) system in British Columbia, a system that, by allocating a tiny fraction of the land to native people and opening the rest for development, facilitated the geographical reorganization of the province. My conclusions are these: the initial ability to dispossess rested primarily on physical power and the supporting infrastructure of the state; the momentum to dispossess derived from the interest of capital in profit and of settlers in forging new livelihoods; the legitimation of and moral justification for dispossession lay in a cultural discourse that located civilization and savagery and identified the land uses associated with each; and the management of dispossession rested with a set of disciplinary technologies of which maps, numbers, law, and the geography of resettlement itself were the most important. Although no one body of theory explains colonial power, several theoretical perspectives yield crucial insights.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.039 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".