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Record W3038614642 · doi:10.1177/2380084420941777

COVID-19 Has Clarified 2 Foundational Policy Questions in Dentistry

2020· article· en· W3038614642 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJDR Clinical & Translational Research · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Context (archaeology)Dental carePoliticsHealth carePolitical scienceOral healthPublic relationsStatement (logic)Oral health care2019-20 coronavirus outbreakSociologyMedicineLawDentistryHistoryPathology

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.542
GPT teacher head0.611
Teacher spread0.069 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it