Is Job Insecurity Worse for Mental Health Than Having a Part-time Job in Canada?
Bibliographic record
Abstract
From the start of the residency trainingship in 1963, the residency training programs have been contributed much on the establishment and development of preventive medicine in Korea. But these programs are now have several problems to update the changes in health service needs of the population that were caused by a rapid epidemiologic transition from the acute infectious diseases to chronic diseases in last a few decades. Strengthening in medical practice, not just in knowledge is urgently required. Must have more concentrate on preventive service for the individual, as in clinical preventive medicine. Training residents by the systematic and well scheduled programs, not just 'teacher's assistant' in the academic facilities. Trying the change in the system of Specilty of Preventive Medicine to the well established several subspecialty, so more specific competency can be gained through the training. These approach and reformation may not only contribute for the better future of the preventive medicine, but also improve in disease prevention and health promotion, which required by the society in Korea.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".