Report on the activities carried out by ‘Sonrisas’ to promote oral health: the experience of a Canadian dental hygienist in the Dominican Republic
Bibliographic record
Abstract
Smiles Foundation is a non-profitable organization established in Canada as a sister foundation to the Dominican Fundacion para la Prevencion y la Salud Bucal de los Ninos "Sonrisas" the Dominican Republic, which provides free dental treatment and oral health education to underprivileged children. Its founder Elina Katsman, a Canadian dental hygienist embarked on this project in 1986, and started giving lectures in the small community of Samana along with two local nurses that she trained in the principles of oral hygiene and related primary health care. Today, the foundation runs eight dental clinics and five mobile units that serve remote areas and has benefited 1,723,119 people in total. The aim of this article was to report on the growth that Smiles Foundation has experienced to promote oral health among children and adults in the Dominican Republic including its activities and the results it has achieved up until 2005.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".