A “Shock Test” to Primary Care Integration: COVID-19 Lessons from Alberta
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
The COVID-19 pandemic exposed primary care (PC), and policies aimed at integrating it into provincial health systems, to a "shock test." This paper draws on documentary analysis and qualitative interviews with PC and health system stakeholders to examine shifts in Alberta's pre-pandemic PC integration model during the first nine months of the pandemic. We begin with an account of three elements of the province's pre-pandemic model: finance, health authority activity and community activity. We describe these elements as they shifted, focusing on two indicators of change: novel virtual care billing codes and personal protective equipment (PPE) distribution channels. We draw out policy planning lessons for improving PC integration under normal and future pandemic conditions, namely, by facilitating rapid updates of virtual care billing codes, analyses of the impact of care delivery and backstopping of PPE markets and supply chains for PC.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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