Dental reform in Israel’s National Health Insurance Law has helped children and their families, but what’s next?
Bibliographic record
Abstract
Through a nationally-representative survey of 6 year-old children, Natapov, Sasson and Zusman demonstrate that the 2010 dental reform to the National Health Insurance Law (NHIL) has helped to improve the oral health of children in Israel. While the prevalence of dental caries (tooth decay) in Israel's children has remained relatively stable over time, compared to previous surveys, children now have more treated than untreated disease, suggesting that the NHIL reform has increased utilization and access to dental care, and arguably improved the quality of life of children and their families. Even though inequalities in oral health remain, universal coverage for children in Isreal is a positive development; yet for further improvements in oral health to materialize, attention will arguably need to be paid to broader preventive measures (e.g. drinking water fluoridation, oral disease prevention and oral health promotion in primary care), and more importantly, to the social determinants of health (e.g. income security, fair income distribution, food security).
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.035 | 0.027 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".