Pimatisiwin: A Journal of Aboriginal and Indigenous Community Health 2(2)
Bibliographic record
Abstract
During the summer of 2002, we worked on a project exploring issues surrounding ethics and research with Aboriginal people. As we reviewed a number of articles published in this area, our library and Internet searches were accompanied by multiple conversations. Within these conversations we often wondered about the written words, words primarily written by aca-demics, rather than community members. In the written documents, many authors identify some of the complexities and ethical issues that are equally exciting, frustrating and engaging. Overall, however, there is a dearth of pub-lished and readily accessible discourse on ethics in the context of research and Indigenous communities, perhaps reflecting the early stage of critically contemplating the ethical implications of research within Aboriginal com-munities. During the fall of 2002 we took the class From Written Text to Oral Tradition at the University of Alberta with Dr. Stan Wilson. Throughout the course we often thought about our ethics project and began to recognize the
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".