Dental trauma management awareness of Singapore pre‐school teachers
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 purpose of this study was to assess the awareness of pre-school teachers concerning the management of traumatized teeth. A questionnaire survey of teachers' backgrounds, attitudes/practices and knowledge was distributed to all teachers who attended a dental education program organized by the Singapore Dental Health Foundation. Of a total of 291 teachers surveyed, 29% had received tertiary education, while the rest (71%) had received secondary education. The mean teaching experience was 6.8 +/- 6.9 years. About a quarter had previous experience in handling dental trauma. Sixty-three percent admitted having no knowledge of dental trauma; 79% were unsatisfied with their level of knowledge in this area; 95% were keen to have further education in dental trauma; 65% thought dental trauma emergency should be dealt with as soon as possible. Concerning knowledge, during-office hour emergency services were more familiar (84%) than after-office hour emergency services (15%), as was the concept of management of avulsed teeth (71%) compared to that of fractured teeth (51%). Knowledge about optimal storage media for avulsed permanent teeth was especially poor--being as low as 15%. Using multiple logistic regression analysis, it was found that teaching experience significantly influenced the respondents' self-assessed knowledge and their level of satisfaction with their knowledge (P = 0.012). Teachers with more teaching experience had better knowledge about the replantation of permanent teeth (P = 0.003). It is recommended that public education targeted at teachers should be carried out to increase dental trauma management awareness.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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