Accounting and First Nations: A Systematic Literature Review and Directions for Future Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper presents a synthesis of academic research focused on First Nations peoples, contrasting First Nations versus non‐Indigenous understandings of accounting and accountability. Key themes and trends in past research are identified across 51 publications spanning four decades, and directions for future research are proposed. The need for more culturally responsive accounting is well established, and past studies highlight the inadequacies of reporting practices which do not appear to capture the priorities and nuances of First Nations entities. The focus and execution of accounting research is shifting towards more contemporary experiences with accounting, and the contribution of First Nations worldviews to advances in non‐financial reporting. This paper systematically explains the inadequacies of contemporary reporting practices and encourages the accounting community to reflect on future opportunities. It is therefore relevant to both academics and practitioners seeking to uphold the rights of First Nations peoples to self‐determination in line with the United Nations Declaration on the Rights of Indigenous Peoples. Further work is urgently required to ensure First Nations organisations are adequately supported in their reporting practices, to incorporate traditional knowledges and to achieve positive outcomes for their communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it