COVID-19 Has Clarified 2 Foundational Policy Questions in Dentistry
Bibliographic record
Abstract
Before the COVID-19 pandemic, health policy debates about the importance of oral health and dental care were intensifying around the world. These debates were invariably complex and muddled by political, professional, and commercial interests. Although, in broad terms, 2 foundational questions have tended to undergird debates on how dental care should be addressed in health policy. These are: who should receive the support of governments, and what constitutes essential or medically necessary dental care? In our view, the COVID-19 pandemic has provided a stark social and policy context that has radically clarified both questions. Knowledge Transfer Statement: This commentary can be used by governments, regulators, professional groups, and other stakeholders in their considerations of what constitutes essential or medically necessary dental care and how to best allocate dental care resources.
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 | 0.084 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.036 |
| Scholarly communication | 0.022 | 0.016 |
| Open science | 0.007 | 0.013 |
| Research integrity | 0.099 | 0.078 |
| Insufficient payload (model declined to judge) | 0.009 | 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".