Apple Sauce & Academia: An Interpretative Phenomenological Analysis of Student-Mothers' Experiences in Graduate School
Bibliographic record
Abstract
Despite extensive research on the impacts of stress on the traditional student body in higher education, the presence of mothers in graduate school and their unique experiences and contributions have all but gone unnoticed. Specifically, the emotional and physical impacts of gendered role integration in graduate school remain largely unknown. In this study, I explore the lived experience of six Canadian graduate student-mothers. All of the participants were married, residing with the biological father of their children, and were between the ages of 30 and 41 years during their time in graduate school. Using Interpretative Phenomenological Analysis (IPA) as a guide, semi-structured interviews were conducted to obtain a deeper understanding of the student-mothers’ multiple-role experiences. Five over-arching themes emerged (a) power of values, (b) socio-ecological system, (c) experience of role integration, (d) coping strategies, and (e) reflections of meaning. A better understanding of the experience of graduate student-mothers can help inform treatment protocols for medical and mental health professionals, provide recommendations to current and prospective students, as well as foster compassion and systemic change within the academe.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".