Settler Military Politics: On the Inclusion and Recognition of Indigenous People in the Military
Bibliographic record
Abstract
Abstract After decades of refusal, neglect, and tacit admittance, the service of Indigenous people in the national armed forces of settler colonial states such as Australia, Canada, New Zealand, and the United States is finally gaining acknowledgment. Indigenous people are now integrated in the regular forces and represented in national war commemoration. This article maintains that while inclusion and recognition of Indigenous military service is a positive transformation in the direction of post-colonial reconciliation, it still operates within the logics of settler colonialism intended to eradicate Indigenous stories of connection to land and assimilate Indigenous people in settler society. Using the case study of Indigenous militarization in Australia, this article argues that, under conditions of settler colonialism, the inclusion and recognition of Indigenous people in national militaries advances the settler colonial project intended to dispossess Indigenous people from their land and assimilate them in the new settler society. It highlights that historically, military organization has supported settler colonialism, and positions the present inclusion and recognition of Indigenous people in the military as a continuation of this history.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.027 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".