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
Despite having a suicide rate that is consistently higher than the national Canadian average, our understanding of suicide within First-Nation Canadians is limited. Furthermore, our historical research endeavors in this area have tended to focus on clarifying characteristic symptoms, symptom clusters, and risk factors; establishing causal links; and identifying clinical phenomena associated with the presence of increased risk and have tended to use quantitative methods. The "voice" of the suicidal First-Nation person is largely "silent" within this literature and, as a result, any understanding we have of this issue is unbalanced and incomplete. Accordingly, this paper makes the case for adding a complementary (or shifting the existing) research emphasis for studying suicide within First-Nation Canadian communities. It suggests a complimentary strategic research activity that is more concerned with qualitative methods: A model that augments the current understanding of the "developmental-existential" model of suicide by accessing and articulating the "voices" of the First-Nation people themselves.
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 | 0.000 | 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 | 0.001 | 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