Female dentists: their professional lives and concerns
Bibliographic record
Abstract
Over the last 40 years, there has been a consistent increase in the proportion of women in the dentistry profession. In this study, we intended to gain insight into the issues and concerns that influence the work characteristics of female dentists. A number of studies have shown that gender differences exist in choice of specialisation, practice patterns, and professional attitudes; some have revealed that women are attracted to primary care management ahead of other dental specialties. It is also evident that women work fewer hours, work part-time and see fewer patients than men, and are less likely to own their practice than their male counterparts. There is also a net income discrepancy between male and female dentists. We used a qualitative description methodology to guide this pilot study, for which we recruited a purposive sample of six female dentists from the dental clinics of Montreal General Hospital, in the greater region of Montreal in Quebec, Canada. These dentists were at different stages of their practice (i.e., general practitioners and specialists). All interviews were fully transcribed, with the data managed with NVivo vr.9 software to facilitate the analysis. The findings suggest that female dentists consider it a challenge to balance work and childcare responsibilities. Taken together, the increased number of women in dental practice, and the additional demands of household activities, suggests that the relationship between work status and family happiness is an important matter to explicitly consider. Therefore, in order for female dentists to achieve balance between these two domains of life, a deeper understanding of the effect of family and society, and the work place is required.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".