Bibliographic record
Abstract
Public health practice comprises organized efforts to improve the health of communities. Public health differs from clinical medicine by targeting populations rather than to individuals, emphasizing prevention and keying interventions to multiple social and environmental determinants of disease. In 1988 IOM published the pivotal report, The Future of Public Health. The IOM report provided a new categorization of public health functions, which has become widely adopted. Functions were denoted as assessment, policy development, and assurance. In 1994, the US Public Health Service(Public Health Functions Steering Committee) issued a vision and mission statement of public health and listed 10 essential public health services. WHO and other countries, Canada, Australia and UK employed essential public health functions as a tool of strengthening of public health system. We reviewed the concept, principles and services of public health, investigated the infrastructure of US, Japan and Korea public health system to identify areas of change and actions in seeking to address the challenges facing Korea health system. ① Public health organizations must adopt a population health approach considering environmental, social and behavioral aspects of public health rather than focus individual treatment. ② Public health organizations must support and promote intersectoral partnerships and community networks rather than use command-and-control approach. ③ The structure of public health organizations must be changed to meet the internal and external need of public health. The recommended organization structure is network model. ④ Performance standards based on core functions and essential services of public health must be established and used to self-assessment and surveillance of public health organization’s capacity. ⑤ Core competencies for public health workers must be developed and used as the guide to job descriptions, orientation, training activities and self-assessment.
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 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 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.139 | 0.077 |
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".