Bibliographic record
Abstract
Aboriginal peoples have been and continue to be subjected to multiple traumas and stressors that contribute to their greater risk for a variety of health and social problems. Among these health issues, cancer has been identified as the third leading cause of death in the First Nations population, and survival rates are lower because many are not diagnosed until it is too late. Due to the high prevalence and mortality rates of cancer, its diagnosis and treatment commonly evoke extreme psychological distress that can have significant implications for treatment and recovery. Having a greater understanding of risk factors that contribute to individual differences in psychological responses to cancer will help identify vulnerable populations and facilitate the development of culturally appropriate interventions. The present study assessed how familial Indian Residential School (IRS) attendance is linked with psychological distress among those with and without cancer in a representative sample of First Nations adults living on-reserve. Statistical analyses were carried out using data from the 2008-10 First Nations Regional Heath Survey (RHS), a representative survey of 4,934 First Nations living on-reserve from across Canada (excluding Nunavut).
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.
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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".