An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar
Bibliographic record
Abstract
AMA Aung Z, Maw T, Thu Y, Kyu N. An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar. Family Medicine & Primary Care Review. 2023;25(2):133-139. doi:10.5114/fmpcr.2023.127670. APA Aung, Z., Maw, T., Thu, Y., & Kyu, N. (2023). An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar. Family Medicine & Primary Care Review, 25(2), 133-139. https://doi.org/10.5114/fmpcr.2023.127670 Chicago Aung, Zay Yar, Than Than Maw, Yin Min Thu, and Nilar Kyu. 2023. "An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar". Family Medicine & Primary Care Review 25 (2): 133-139. doi:10.5114/fmpcr.2023.127670. Harvard Aung, Z., Maw, T., Thu, Y., and Kyu, N. (2023). An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar. Family Medicine & Primary Care Review, 25(2), pp.133-139. https://doi.org/10.5114/fmpcr.2023.127670 MLA Aung, Zay Yar et al. "An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar." Family Medicine & Primary Care Review, vol. 25, no. 2, 2023, pp. 133-139. doi:10.5114/fmpcr.2023.127670. Vancouver Aung Z, Maw T, Thu Y, Kyu N. An exploratory study of job satisfaction of general practitioners in the Yangon region, Myanmar. Family Medicine & Primary Care Review. 2023;25(2):133-139. doi:10.5114/fmpcr.2023.127670.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".