Embracing Indigenous culture in military organizations: the experience of Māori in the New Zealand military
Bibliographic record
Abstract
This article builds on a 2007 research on Indigenous peoples in the New Zealand Defence Force (NZDF) which identified best practices from New Zealand that Canada could draw upon to enhance participation of Indigenous peoples within the Canadian Armed Forces. Using organizational culture theory as a conceptual framework, this article further investigates the main approaches and practices that have enabled a positive partnership with Māori and the successful inclusion of Māori culture in the NZDF. Specifically, the paper investigates the mechanisms used by the NZDF and the internal and external environments of the organization supporting the participation of Indigenous groups in the New Zealand military. The discussion explores ways in which Indigenous practices and customs can be incorporated into other military systems and protocols. The paper concludes that, among military organizations, the NZDF is a leader in transforming the organizational culture by enabling the organization to embrace Indigenous culture and empowering Indigenous members within their ranks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".