[Mechanism and implication of regulation of the pricing of essential medicines in the private pharmaceutical sector in Mali].
Bibliographic record
Abstract
The healthcare and pharmaceutical professions in Mali were privatized in 1985. Privatization led to swift expansion of the private sector and upset the balance that had existed between the public and private sectors. A national pharmaceutical policy did not emerge until a decade later. Its purpose was to promote a system ensuring fair access to essential generic medicines for all. It was hoped that synergy between the two sectors would promote that objective. However, the policy calling for distribution of essential generic medicine through the private sector was not accompanied by an adequate system for pricing. This problem led the government to adopt a price regulation policy to realign market dynamics with public health goals. This experience shows that a sustained effort from public policy makers is necessary to prevail against the professional and business interests that can conflict with the public interest. Analysis of this experience also demonstrates the need to improve, restructure, and control the pharmaceutical industry. The government must continue to play its crucial role in the context of limited resources and inequality between consumers and pharmaceutical companies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".