Remote Education During a Nationwide Pandemic: Teaching and Learning (Dental Teachers and Students) During COVID-19
Bibliographic record
Abstract
In the past few months, a viral pandemic has spread worldwide and continues to disrupt the everyday life of the whole population. The action plans: During this time, dentistry in the U.K. has suffered and the majority of dental care has ceased, with only some centres being able to offer emergency care for patients. Live education: The education of our dental students has been considered and modified to offer continuation of teaching and learning in a remote fashion, given the current conditions. Discussion: This format of teaching and learning has identified new possibilities relating to what is possible in dental education in the U.K., with the adequate organisation, dedication and flexibility that some of the electronic applications within remote education allow. Conclusion: The success of such a format lacks any published evidence, but the initial feedback from our dental students has been grossly positive, and; combined with such multiple benefits, may suggest a role for different formats for dental education in the future.
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How this classification was reachedexpand
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".