Accidental Flexibility: The Effects of COVID‐19‐Induced Remote Learning on Graduate Student Mothers
Bibliographic record
Abstract
Graduate student mothers are in a unique position, balancing the competing roles of mother, student, and worker. The struggle to balance these roles often results in family-to-work conflict, an integral piece in maintaining gender inequality within universities and other similarly structured organizations. For a moment in time, the COVID-19 pandemic upended these organizations, changing the ways mothers performed their dueling roles through the removal of key resources and changes in flexibility. Using semi-structured interviews with 19 participants conducted throughout the fall and winter of 2022, this study explores how the lives of graduate student mothers were affected by the COVID-19 outbreak and shift to remote learning. For some, the pandemic negatively affected their progress due to a loss of resources and increased unpredictability. However, for others, the pandemic alleviated conflict between their dueling roles, allowing them to better manage their responsibilities regardless of interruptions in child care. The findings of this study contribute to a larger understanding of how organizational structure maintains inequality and how policies like remote work and child care may influence it.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".