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
Literacy is increasingly being thought of as a social practice with its use and understandings being context dependent. As an essential element within and of education, literacy offers possibilities for engaging in everyday life. Health literacy has emerged as a means to develop health-promoting practices that has meaning in social contexts. Reflecting biomedical interests, the focus of health literacy is predominately constructed as a neutral and technical process that has specific meaning and practice, positioning it as functional literacy. This paper presents one approach to critical health literacy based on a multi-dimension (3D) approach that presents literacy as a situated social practice. The 3D model will be described and then the model’s application to health literacy will be explored. The use of the 3D model to build critical health literacy challenges the biomedical approach to health literacy as solely functional literacy. Functional literacy is not sufficient for a person to build a critical social consciousness and illuminate how social determinates of health create inequitable health or how it could be ameliorated. Social justice and equity are presented as fundamental pre-requisites for health. Working with young people in context of schools, the reciprocal relationship between health and education offers space for possibilities around literacy skills and understanding about what creates health. The same space can enable young people to see opportunities for empowerment to shape and recreate their social reality. Health literacy for social justice and equity therefore has to include possibilities for understanding and responding to socio-cultural knowing.
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 | 0.002 | 0.002 |
| 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 | 0.003 |
| 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