Retracted: Differences in Dental Students' Intercultural Competence Across a Four‐Year Program
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Cultural competence is a combination of knowledge, awareness, and skills that dentists must acquire during their training in order to work with diverse populations. The aim of this study was to measure the perceived cultural competence of dental students in all four years at the University of Alberta in Canada. In 2018, a validated 17-item questionnaire-the Knowledge, Efficacy, and Practices Instrument for Oral Health Providers-was used to assess the students' perceived level of cultural competence on a scale from 1=lowest to 4=highest. Students were grouped into four cohorts (C1, C2, C3, C4) based on their level in the program. Newly admitted students (C1) were surveyed before they took any classes; first-year students were designated C2; second-year students were designated C3; and third- and fourth-year students were combined into C4. Of 160 students, 72% responded, and 102 eligible students (64%) were included in the analysis. The average age of participants was 24.6 years (SD=3.23), 56% were men, and 75% were born in Canada. White and East Asian were the most (48%) and second most (23%) prevalent race/ethnicity. The analysis showed a significant relationship between cohort groupings and determinant components for student classification. The overall mean scores by cohort were C1 2.50 (SD=0.81), C2 2.60 (SD=0.79), C3 2.81 (SD=0.69), and C4 3.04 (SD=0.80). The mean scores of C4 were significantly higher than the mean scores of the other cohorts (p=0.001). This study found that clinical-level students at the University of Alberta had significantly higher perceived cultural competence than those in the preclinical years, though the results also pointed to the need for increased training in this area.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".