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Record W7140153950

Apple Sauce & Academia: An Interpretative Phenomenological Analysis of Student-Mothers' Experiences in Graduate School

2019· dissertation· en· W7140153950 on OpenAlexaffabout
Jane Allison Fix

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsInterpretative phenomenological analysisGraduate studentsCoping (psychology)Phenomenology (philosophy)Mental healthCompassionQualitative researchLived experience
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.001

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.

Opus teacher head0.436
GPT teacher head0.621
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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