Indigenous peoples in the accounting literature: Time for a plot change and some Canadian suggestions
Bibliographic record
Abstract
There is a recent body of accounting literature that articulates a role for accounting in enabling the dispossession and devastation of Indigenous peoples in Canada, the US, Australia and New Zealand. This literature covers the events of several hundred years and informs an understanding of the transformation of Indigenous lifestyles under colonization. In so doing, the literature largely focuses on accounting “for” Indigenous peoples rather than accounting “by” Indigenous peoples. This article urges a change that emphasizes and encourages new directions for the literature. The article begins with a discussion of relevant publications and their themes, including some discussion on the genesis of this literature. From there, the article articulates the need for multiple perspectives and a more nuanced accounting history that acknowledges Indigenous peoples as subjects with agency rather than disempowered objects. Then, by way of illustration, the article provides a description of four potential research projects in the Canadian context.
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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 | 0.015 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.041 | 0.043 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".