Integrating community service-learning into a dental hygiene curriculum: a document analysis.
Bibliographic record
Abstract
Background: Community service-learning (CSL) aims to promote civic engagement among students and deepen their understanding of social issues, connecting students to communities where they may practise as future health care providers. This study's aims were two-fold: first, to determine whether incorporating a non-dental community service-learning experience into a fourth-year behavioural science course can develop abilities related to the dental hygiene baccalaureate competencies; second, to examine the overall student learning experience. Methods: Seven community agencies presented projects to the dental hygiene class, and students individually selected their top 3 choices. Projects were diverse, ranging from literacy tutoring to creating a program plan or hosting a public virtual event with an interprofessional health panel discussing nutrition. Dental hygiene students participated in a 20-hour placement with one community project and completed individual reflection journals that focused on their experience. Using a document analysis approach, the authors examined the reflection journals through an iterative process to identify themes. Results: Ten student reflections were analysed and three themes emerged: 1) increased social awareness; 2) application of dental hygiene core competencies; and 3) the challenges of the learning experience. Students consistently discussed how the project allowed them to apply 5 dental hygiene core competencies and how their learning experience aligned with their future professional role as a dental hygienist. Students articulated increased understanding of their individual privilege and awareness of social issues in their community. Conclusions: Participation in non-dental CSL increased dental hygiene students' social awareness of local communities. Students demonstrated an ability to apply their learning to their developing competencies as future dental hygienists.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".