Transformative Collaborations
Bibliographic record
Abstract
Abstract. The COVID-19 global pandemic has highlighted and exacerbated existing gender-based inequities in the workforce. A research collective developed by academic mothers with young children (“motherscholars”) emerged as a solution to address some of the constraints particularly faced by mothers in academia. The Motherscholar Collective was formed to research the effects of the pandemic on the work and personal lives of academic mothers with young children. Focus group interviews of participants explored how the Motherscholar Collective has provided relief from the sources of threat generated and amplified by the pandemic. Findings showed that participation in the Collective was transformative. Key themes, including flexibility, collaboration, validation, and empowerment, reflect how the Collective contributed to motherscholars' sense of authenticity as scholars by facilitating a harmonious integration of their professional and personal identities. The resulting implications for academic workplaces suggest opportunities for institutional improvement toward the end of transformational empowerment for motherscholars in academia.
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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 | 0.021 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.003 | 0.038 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".