Motherwork Learning: An Art-informed Inquiry into Mothering as a Site of Adult Learning
Bibliographic record
Abstract
This paper explores the learning and knowledge creation that takes place within the lived experience of motherwork. Women who provide primary care to children tell stories about significant moments of change and learning that result from motherwork. Using art-informed inquiry that includes storytelling and poetic narrative, I examine motherwork as a site of adult learning. An important part of adult education links learning to change and transformation for individuals as well as for society. Personal transformation often begins with a disorienting dilemma, which subsequently evolves. In order to effect change in society, many adult educators recognize that the goals of transformation are embodied in the day-to-day lives of people who challenge existing oppressive societal systems. Therefore, this study explores the links between personal agency in lived experience and public effectiveness. Résumé Cet article s'attarde à l'apprentissage et à la construction du savoir à travers l'expérience d'être mère. Des femmes qui prodiguent des soins de base aux enfants racontent des moments forts de transformation et d'acquisition de connaissance attribuables à leur rôle de mères. Au moyen d'une enquête par analyse littéraire, incluant des récits et du discours poétique, j'examine le rôle de mère comme lieu d'apprentissage.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".