Book Review - Care Activism, Migrant Domestic Workers, Movement-Building, and Communities of Care, Ethel Tungohan
Bibliographic record
Abstract
In Care Activism, Ethel Tungohan presents a lens for rethinking social work leadership, by drawing from relational care, justice-driven leadership, and alignment with political social work, centring the voices of migrant care workers, a group historically marginalized in both the global division of labour and social work discourse. Precarious migrant domestic and care workers in Canada, predominantly from the Philippines, grapple with challenges and exploitative labour conditions shaped by evolving immigration policies (Eric 2007, 2012; Alcaraz et al., 2021). Across five chapters not including the introduction and conclusion, Tungohan introduces and operationalizes the concept of careactivism carried out by domestic workers that goes beyond political considerations such as overturning public policies or reconfiguring power structures, but at its core attending to the practice of care. Care activism manifests beyond capitalist logics of exchange, with care workers extending the labour of care outside of their paid responsibilities. What care activism does is creating networks of mutual aid and resistance against exploitative labour conditions and harmful policies.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.010 |
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".