Public sector and efficiency: Are they mutually exclusive? An alternative policy framework to improve the efficiency of public health care system in Tamil Nadu India.
Bibliographic record
Abstract
This paper provided an alternative policy framework for Tamil Nadu to improve the performance of its public healthcare system. The entire framework is based on the premise that everything else will fall in place once the resource gap is narrowed down. The whole approach is to enhance productivity without eroding equity. The framework essentially addresses three issues. First it is related to the provision of services at the public healthcare centers. It is suggested that the services to be offered should be well defined taking into account the capability of the center and in tune with local needs; the patient-consumers should be informed accordingly. The next issue is with respect to the roles of the healthcare delivery staff and the community. The suggestion is that the local units need some level of autonomy (and appropriate incentives) to cope with the local settings so as to fulfill the local needs and aspirations besides enhancing the efficiency. The last one is related to the financing mechanism. The framework suggests that to start with financing and the management of recurrent expenditure should be done at the local level through the panchayats. (excerpt)
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".