Embedding First Nations Knowledges, perspectives, and experiences in university criminology curricula in Australia and Aotearoa New Zealand: Findings from a transnational survey
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
As many universities strive to decolonise their curricula, understanding how criminologists in Australia and Aotearoa New Zealand are incorporating First Nations Knowledges, perspectives and experiences becomes crucial. Drawing on a survey of 176 criminology educators working in these countries, this study examined how First Nations’ insights are embedded in their teaching. The findings indicate that educators across the two countries are embedding a variety of approaches within their curricula but there is still much work to do. Educators from Aotearoa New Zealand utilise more approaches in their teaching than their Australian counterparts, which may speak to the more advanced policy positions regarding embedment of First Nations perspectives. Sustainable, long-term approaches require a whole-of-university approach so that the practice of embedment reflects the policy and intentions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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