Exploring the health literacy of First Nations young adult women
Bibliographic record
Abstract
Relative to non-First Nations, Inuit, and Métis (FNIM) Canadians, FNIM people have poorer health status. Accessing and comprehending information and services that influence health is a fundamental skill that enables individuals to function within a health care system that expects individuals to play an active role in promoting their health. A qualitative investigation of the health literacy skills and the health information needs of young FNIM adults was conducted. Eight single First Nation mothers living on-reserve were interviewed between February 2012 and September 2012. Data analysis generated main themes and subthemes of: (1) Health Information Needs of First Nations Young mothers; (2) Interpersonal Health Information Resources: (i) Asking the Doctor/Telehealth, (ii) Female Family and Friends; and (3) Online Accessibility and User Skills: (i) Health Information Online, (ii) Social Media, and (iii) Navigation and Computer Skills. Although participants used online and social media resources to access health information, they expressed a lack of confidence in their ability to comprehend accessed information. Strategies to support First Nations young mothers are recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".