Conceptualizations of fairness and legitimacy in the context of Ethiopian health priority setting: Reflections on the applicability of accountability for reasonableness
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
A critical element in building stronger health systems involves strengthening good governance to build capacity for transparent and fair health planning and priority setting. Over the past 20 years, the ethical framework Accountability for Reasonableness (A4R) has been a prominent conceptual guide in strengthening fair and legitimate processes of health decision-making. While many of the principles embedded within the framework are congruent with Western conceptualizations of what constitutes procedural fairness, there is a paucity in the literature that captures the degree of resonance between these principles and the views of decision makers from non-Western settings; particularly in Africa, where many countries have only recently, within the last 20-30 years, become more democratic. This paper contributes to the ethics literature by examining how Ethiopian decision makers conceptualize fair and legitimate health decision-making, and reflects on the degree of conceptual resonance between these views and the principles embedded in A4R. A qualitative case study approach from three districts in Ethiopia was undertaken. Fifty-eight decision makers from district, regional, zonal, and national levels were interviewed to describe their conceptualization of fairness and legitimacy in the district health planning process. Findings revealed that Ethiopians have a broad conception of fairness and legitimacy that while congruent with procedural justice, also aligned with principles of distributive and organizational justice. Researchers and practitioners seeking to strengthen procedural fairness in health priority setting must therefore recognize the significance of other philosophical dimensions influencing how fairness and legitimacy of health decision-making are constructed within the Ethiopian setting.
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 | 0.035 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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