Bibliographic record
Abstract
Abstract Dental public health is concerned with preventing oral disease, promoting oral health and improving the quality of life through the organized efforts of society. Oral health is an important public health problem as dental diseases including dental caries, periodontal disease, oral neoplasms, and dento-facial trauma are common, have significant impact on individuals and wider society, and are largely preventable. Individual risk factors for oral disease are largely equivalent to the risk factors for other common diseases namely diet, tobacco, and alcohol use, accidents, ineffective oral hygiene and limited exposure to fluoride. In common with many other diseases, many of these risks are patterned by social and economic factors. Oral health promotion involves a common risk factor approach which may be based on the principles of the Ottawa Charter. Examples include reducing the consumption of sugars through regulation of advertising and labelling of foods, training dental care professionals to give alcohol and tobacco advice, preventing accidents damaging the mouth through promotion of impact-absorbing surfaces for play areas, and the provision of mouthguards for use during contact sports. Good oral hygiene and optimal exposure to fluoride is promoted through provision of low cost fluoride toothpastes and other sources of fluoride including community fluoridation schemes of water, salt, and milk. Dental services are involved in the prevention and treatment of dental disease with the additional aim of improving the quality of life of affected individuals. Opportunities for clinical prevention include sealing the biting surfaces of teeth and the application of fluoride varnishes. Dental services are increasingly expanding the use of dental care professionals other than dentists to improve access to services. Non-specialist personnel can be trained to provide atraumatic restorative techniques, a method of restoring decayed teeth that does not rely on expensive equipment or electricity. To ensure their effectiveness and efficiency, dental services should provide high-quality, evidence-based patient management.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.512 | 0.197 |
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".