Sitting in Many Camps—Innovative Approaches and Methods for First Nations‐Led Research Into Indigenous Peacebuilding
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 In 2021, a desktop review was conducted of published references to First Nations peoples' approaches to conflict and its management in Australia (Project Stage One), culminating in a report published in 2024. This article focuses on Project Stage Two, a complex, innovative research undertaking building on the findings of Stage One, and being developed and implemented as a First Nations‐led project. It describes a fully collaborative research approach to co‐designing, with First Nations peoples, multi‐method techniques for collecting, analysing, interpreting and disseminating research information and outcomes on their approaches to conflict and its management. The approach relies on First Nations' protocols, methodologies and knowledges, as well as research principles such as intellectual humility, cultural responsiveness and respect. The project is guided by the principles and protocols relevant to First Nations research as provided by the Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS) and protocols from the University of Newcastle. The Lead Researcher in this project is a First Nations woman, and the Project Team includes non‐First Nations researchers.
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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 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