COVID‐19’s impact on private practice and academic dentistry in North America
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.
Bibliographic record
Abstract
The COVID-19 pandemic is a major public health crisis for countries around the world. In response to this global outbreak, the World Health Organization declared a public health emergency of international concern. Dental professionals are especially at high risk of contracting the COVID-19 virus due to the unique nature of dentistry, more specifically, exposure to aerosols and droplets. When it comes to dental emergencies, it was crucial to maintain urgent dental care services operational to help reduce the burden on our healthcare system and hospitals already under pressure. The COVID-19 pandemic has significantly impacted how dentistry is practiced in North America in both the private practice and academic settings. This article shares the perspectives of dentists practicing in private practice and clinician-researchers in academic dental institutions. More specifically, we discuss about measures implemented to minimize risks of disease transmission, challenges in emergency dental care, impact on patients, as well as impact on the professional and personal lives of the dental team during the COVID-19 crisis.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it