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
Cancer incidence and mortality among Indigenous peoples of Canada (First Nations, Inuit, and Métis) continue to rise in contrast to non-Indigenous Canadians, and Indigenous peoples are at higher risk of cancers associated with known modifiable risk factors. Jurisdictional and administrative challenges have hindered high quality cancer care for Indigenous peoples since the country's inception, and different Indigenous populations face these challenges under similar yet non-identical circumstances. Collaborative initiatives under Indigenous leadership have drawn attention to specific issues such as screening, funding, and culturally appropriate care, and have identified resources necessary to address these problems. The Canadian Partnership Against Cancer and their collaborators have committed significant resources to Indigenous cancer programs with locally and regionally determined leadership and priorities. In the context of broader global movements against systemic racism and inequity, decolonization of cancer care demands critical analysis of the existing cancer systems and restructuring under Indigenous leadership with multidisciplinary collaboration.
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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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