Self-undermining policy feedback and the creation of National Health Insurance in Ghana
Bibliographic record
Abstract
Contributing to the ongoing debate about policy feedback in comparative public policy research, this article examines the evolution of healthcare financing policy in Ghana. More specifically, this article investigates the shift in healthcare financing from full cost recovery, known as 'cash-and-carry', to a nation-wide public health insurance policy called the National Health Insurance Scheme (NHIS). It argues that unintended, self-undermining feedback effects from the existing health policy constrained the menu of options available to reformers, while simultaneously opening a window of opportunity for transformative policy change. The study advances the current public policy scholarship by showing how the interaction between policy feedbacks and other factors-particularly ideas and electoral pressures-can bring about path-departing policy change. Given the dearth of scholarship on self-undermining policy feedback effects in the Global South, this contribution's originality lies in its application of the novel theory to the sub-Saharan African context.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 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".