Dialogues for equity: precarious parent-scholars in times of crisis
Bibliographic record
Abstract
The COVID-19 pandemic amplified inequities around parent-scholars in the neoliberal gig academy. This paper documents the stories and intersectional struggles of four precarious parent-scholars as they navigated doctoral work, dissertation defenses, research, remote teaching, and family life during the pandemic. We illustrate how we navigated our neoliberal subjectivities and the extending multifold crises around the division of labor between academic work and parenting, gender roles, and internalized pressures exacerbated by a public postsecondary education system that exploits increasingly precarious workforces. Through critical collaborative autoethnography, we reflect on our parenting and teaching from March 2020 to August 2021. Drawing from our collective findings we summarize three mutually interdependent areas of communicative intervention that can make our workplace more equitable, entailing self-reflection, negotiation of labor, and collaborative dialogue.
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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 | 0.014 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".