Solidarity economy in Montreal : women's activism creating alternatives through the ethics of care
Bibliographic record
Abstract
The feminization of poverty has been, and still is, a problem in North America. Canadian public policies have a negative affect on women, especially those who are mothers, single or elderly. Large urban centres such as Montréal, Québec have a large proportion of women living on low incomes or on social assistance. Through participant observation at Food Central, a community organization, I interacted with these women and the women activists who work with them to assist in easing the difficulties women experience in providing for their families and themselves when household income is insufficient to cover monthly bills. My fieldwork was conducted from August 2008-March 2009, some of the most expensive months of the year for many women. Québec's history of social upheavals since the 1960s and its economic instability has created a situation that closely parallels Latin American countries. Both Québec and Latin American countries have increasingly large and popular activist organizations seeking social justice. Many of the grassroots Latin American activist organizations are creating alternatives to the globalized capitalist economy such as " economía solidaria " which is based on an ethics of care, reciprocity, and non-monetary forms of exchanges. This thesis presents the narratives and life stories of the women activists, volunteers and women who came to Food Central as clients to learn what alternatives to the formal economy if any, the women use as strategies of survival in a large city.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.044 | 0.032 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".