Bibliographic record
Abstract
Objectives: The main objectives of the article are to review roles and prospective of the Health Education Specialist on the globalized World, and develop the new positions and jobs of the Health Education Specialists on health promotion. Results and Conclusion: There are many rapid changes, these days, in the Medical and Health Environments, because of Globalization. Modern society needs health professionals who are equipped with new knowledge and information to correspondence with various Health Problems, such as the appearing and disappearing of new contagious diseases, problems of improper health barriers for foreign products, health problems from poverty and also health inequalities are known to be rising. Globalization has induced new needs for Health Professional manpower. After the Ottawa Charter, international society is training and utilizing Health Education Specialists as the propulsive core member of the Health Promotion Era. And also society now expects and requests the activities of Health Education Professionals as a group effort, not only in their own countries, but also across the barriers of international society. Health Professionals are working in WHO, UNICEF KOICA or other international organizations. Especially England and USA are utilizing Health Education Professionals in Health Planning and Education Work to keep up with Health Promotion Era. Now, we need to establish ideal and proper strategies in Health Promotion Work, as a one of the pioneer countries to lead Internationalization. To accomplish this task, Health Education Specialists should be well utilized in the field of Health Promotion Work, such as communities, schools, industrial sites and international health organizations.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.091 | 0.032 |
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".