Untangling complexity as a health determinant
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
As the healthcare system has modernized, it has also become rich with complexity. This complexity continues to foster the creation of wicked problems that at first consideration appear inherently insoluble. To compound matters, policy-makers and decision-makers continue to view the healthcare system in a reductionistic, linear manner. This paper advocates that all stakeholders within the system (policy-makers, providers, and patients) become comfortable with complexity as a determinant of health, and offers tools for productively working with complexity, instead of trying to solve it. These tools include complexity heuristics, adjusting to an emergent decision-making paradigm, and easing the anxiety associated with ambiguity and paradox by becoming antifragile. By adopting these methods, the health determinant of complexity within the Canadian healthcare system can be effectively handled. This will lead to sustainable and scalable interventions, strong patient-partners in care, and efficient use of monetary and human resources.
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 | 0.027 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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