Bibliographic record
Abstract
For centuries, women have practiced home-based work. What happens when this strategy enters the academy? What happens when a postdoctoral fellowship becomes home-based work? Using autoethnography, I examine the home-based postdoc as one option sought by gendered subjects with care obligations and limited mobility for accruing academic capital. Through telecommuting and occasional visits, aspiring academic mothers gain valuable experience at prestigious institutions without incurring the immediate social and financial costs of uprooting their families. Yet women’s home-based academic work cannot provide the long-term professional and care benefits of on-campus presence. To probe the challenges and strategies of a home-based postdoctoral mother, I study three tensions: im/mobility, spaces of re/production and care. This ploy for decoupling geographic from social mobility and reconciling family care with career progression speaks to gendered labour relations and the work-life balance myth. The home-based postdoc, with its inherent compromises, is thus a perennial site of critique of the neoliberal academic institution.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.022 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".