The Regulatory Challenge of Mobile Health: Lessons for Canada
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
Mobile health (mHealth) is the provision of health or medical services enabled by portable devices. This field is rapidly expanding as the global market for mobile devices grows. mHealth "apps" pose benefits and risks to their users that governments have attempted to address through regulation. There is substantial variability across regulatory bodies in the scope, specificity and robustness of mHealth regulations, with Canada's regulatory framework lacking in two major domains: (1) specificity of existing regulations for mHealth and (2) regulatory clarity for what apps require regulation. If Canada is to be a leader in digital health, it requires a new framework that encourages the growth of an mHealth market that can bring innovative solutions to contemporary healthcare challenges while maximizing user benefits and minimizing harms.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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