Towards the Adoption of Novel Visualizations in Public Health
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
Visualizations form an important part of public health informatics (PHI) communications. Visualizing data facilitates discussion, aids understanding, makes patterns apparent, promotes analysis, and fosters recall. How rare are novel visualizations in the PHI literature? In Phase 1, we used a rapid review methodology to test the commonness of the Sankey diagram in the PHI theory literature via an automated text search for key terms. In Phase 2, we prototype an uncommon chart type. A total of 27 relvant papers were searched and a computer-generated Sankey diagram was prototyped. PHI professionals have access to visualization tools emerging from social media and niche systems. PHI literature underutilizes uncommon visualizations requiring programming expertise. The authors advocate for: multi-disciplinary teamwork, technical education, the use of open visualization tools, and further adoption of visualization for public health professionals.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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