The Economics of Missionary Colonialism: Evaluating the Church Missionary Society's Complicity in Dispossessing the Tsimshian of Metlakatla, 1882–1887
Bibliographic record
Abstract
The 1882 religious schism in the mission village of Metlakatla, British Columbia, and the subsequent battle over land rights between the Tsimshian First Nations and settler governments, are some of the most extensively analysed events in the history of missions in nineteenth‐century Canada. Yet historians have overlooked the role played by the Church Missionary Society in perpetuating these events. Most importantly, historians have failed to ask why a society that was in financial difficulties and that regularly abandoned mission stations all over the world was so determined to hold on to this one station. The Society's official story was that it needed to protect its converts from persecution, but this article argues that two economic factors also contributed to the value of Metlakatla for the Society. First, competition with Methodist missionaries in the region made Metlakatla a valuable asset for attracting government grants and private donations. Second, the religious schism in Metlakatla undermined the Society's branding as a bastion of doctrinal purity, rendering it necessary to protect the Society's marketing strategy. Attending to these economic factors complicates simplistic narratives of imperial missionary work as only about Christianisation and civilisation, and contributes to ongoing efforts to understand missionary societies as corporations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".