General Dentists’ Perceptions About Their Relationship With Specialists
Bibliographic record
Abstract
INTRODUCTION: This paper assesses the nature of the general dentist-specialist relationship, as perceived by general dentists in Canada. METHODS: A cross-sectional web-based survey was administered to general dentists across Canada who are part of the Canadian Dental Association register and who have consented to receiving email surveys (N ≈ 11,300). Information including sociodemographic and practitioner- and practice-related factors was collected using a 47-item questionnaire. The general dentist-specialist relationship was conceptualised on the basis of 4 factors: communication, confidence, competition, and referrals. Descriptive analysis was conducted. RESULTS: The response rate for the survey was 11.7% (n = 1328). Most general dentists specified that specialists sent timely information/reports (93%), were partners in delivering care (64%), presented little competitive pressure (87%), and were strongly collegial (85%). CONCLUSIONS: In general, the study demonstrated that Canadian general dentists held a positive perception of their relationship with the specialists.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".