“What Would You Do In My Place?” Outcomes of a Collaborative Health Literacy Research Study in Rural Nova Scotia
Bibliographic record
Abstract
The 1994 and 2000 International Adult Literacy Surveys found that 43% of Canada’s adult population is affected by low literacy skills, with 22% of these adults experiencing severe literacy problems. The highest rates of low-literacy skills have consistently been found in the Atlantic provinces. However, what these studies do not reveal are the life-and-death health issues that often lie beneath the statistics. To the question: “What would you do in my place?” posed to us by an unemployed fish plant worker with low literacy skills and severe health issues living in an isolated Nova Scotia community, such surveys provide no answers. This two-year study investigated: 1) factors that influence ways less literate adults in NE Nova Scotia access and act upon health information and services, and 2) strategies for change that could build on capacities for achieving health.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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".