Spanning communication boundaries to address health inequalities: the role of community connectors and social media
Bibliographic record
Abstract
Healthcare services face persistent barriers in reaching and improving access for marginalized or hardly reached people. This paper details the strategic use of social media among community connectors, or members of a community who address health issues in their local contexts by spanning socio-cultural boundaries within the community. Undertaking qualitative research in rural Australia and Ireland, we find evidence that through their strategic use of social media, connectors enhance the local communication infrastructure and create bridges between community and healthcare services due to their: (1) established connections with diverse hardly reached socio-cultural groups; (2) understanding of needs and opportunities for hardly reached people; (3) ability to seek out, ‘translate’ and pass on health information and (4) community building and health promotion practices at individual and social levels. Healthcare access and communication can be improved by identifying connectors and partnering with them to span boundaries enabling connection with the hardly reached.
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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 | 0.021 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".