Factors affecting legal services' quality: The case of an emerging economy
Bibliographic record
Abstract
Vietnam is a rapidly developing country associated with changes in socio-economic activities, especially both public and private services. The service industry is making a practical contribution to economic growth and is gaining a great position. To help a society develop harmoniously, the economy must satisfy people's ability to access services, especially basic services such as education, healthcare, legality, transportation, security and safety. The aims of the study are to estimate factors affecting legal service quality, and based on the survey in three provinces in Vietnam: Lam Dong, Dak Lak, Gia Lai and through quantitative analysis, the research results show that there are five factors that positively affect service quality, which are: (1) government; (2) head of the unit; (3) influencer; (4) opinions of people around; and (5) organizations and individuals providing services. The research results also discuss some solutions to increase service quality and sustainable development of Vietnam in the coming time.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| 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 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".