Financial Autonomy in Vietnamese Public Health Service Units: A Study in Ho Chi Minh City
Bibliographic record
Abstract
In the renovation of the public non-business sector, the financial renovation is a particularly important content, which is a key condition for autonomous non-business units to improve the quality of public services as well as the efficiency of state budget spending. Renovating the financial mechanism of public non-business units has been identified as one of the breakthroughs of the Vietnam Finance Strategy until 2020 [Prime Minister, (2012)]. Implementing the financial autonomy mechanism has created the initiative for non-business units to manage financial expenditures effectively and mobilize the contribution of society for the development of non-business activities. In this process, public healthcare has been and will be an area focused in Vietnam and most provinces of Vietnam, including Ho Chi Minh City. Base on the theoretical framework for the autonomy mechanism, this article focuses on analyzing the actual situation of implementing the financial autonomy mechanism of the public health service units in Ho Chi Minh City, Vietnam for the period 2012-2018. Since then, it indicates the achieved results, limitations, causes, and some recommendations to promote the implementation of the financial autonomy mechanism of public health service units in the context of world economic integration.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".