Unpaid work and social policy: Engaging research with mothers on social assistance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The interlocking issues of gender, unpaid work and multiple forms of representation or lived experiences with social policy are complex. The study ‘Who Benefits: Women, Unpaid Work and Social Policy’, supported by Status of Women Canada, and guided by an advisory group consisting of women’s and anti-poverty organizations was based in Saskatchewan, Canada. The study interrogated how mothers on social assistance (SA) defined and understood unpaid caregiving work with small children; and the impact of social welfare policy guidelines that pushed SA recipients to find paid employment. Using action research and original, creative methods to gather data, the research simultaneously created a non-threatening environment for discussion, information-sharing, support and knowledge creation among participants. Overall, findings in the study resonate with other published studies on low-income women and unpaid work. Unique to this study particularly, were the action research process and outcomes which provided ways to address the needs of the study participants and to catalyze participant-led actions. The study assisted the 28 participants in linking their unpaid work with social policy and finally, in taking socio-political action. Actions included meetings with government, press conferences, and an uptake of recommendations by advisory group organizations. Independent of the research, the participants continued to meet after the study concluded.
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.
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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it