Committed to yourself or have yourself committed: Balancing family life with student success.
Bibliographic record
Abstract
Background: Contemporary student demographics in institutions of higher learning include the mature female student. Preparing to enter an academic setting after an extended absence or for the first time can create personal role conflicts for this student cohort. The purpose of this study was to develop a more comprehensive understanding of the family-life roles, student experiences, and different coping mechanisms of mature female dental hygiene students in order to better enable and support individual student success. Methods: This study employed a mixed methods explanatory approach whereby quantitative data were obtained from mature female dental hygiene students (N = 12) via a 10-item questionnaire comprising both closed- and open-ended questions. Closed-ended questions were summarized using descriptive statistics. Open-ended questions were examined for common themes. Additional qualitative data were obtained through personal in-depth interviews examining supplementary common themes. Results: "Mothering" was identified as the primary family role both prior to and during school enrolment. All participants identified "time" as the greatest challenge and role conflict as being self-imposed. The prime benefit reported was increased self-confidence. The educational system offered the least amount of support according to respondents. Conclusions: The mature female student requires support when returning to higher education-from herself, family, and the academic setting. Institutions of higher education should be cognizant of specific characteristics, barriers, and challenges any student encounters to help facilitate student success.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".