Burned, Broke, and Brilliant: Latinx Community Workers’ Experiences Across the Greater Toronto Area's Non‐Profit Sector
Bibliographic record
Abstract
Abstract This paper explores how women and non‐binary Latinx community workers ( LCW s), in the Greater Toronto Area, navigate multiple interlocking forces of oppression like racialisation, heterosexism and neoliberalism, when advancing social justice across the non‐profit sector. Using an intersectionality framework in tandem with testimonio methodology, including 37 testimonios, a workshop and participant observation, I show how LCW s are constrained by, but also contest, a white neoliberal non‐profit funding structure and patriarchal political system. I also explore how community work has contradictory effects on the mental, physical and economic wellbeing of LCW s. Lastly, I demonstrate how LCW s persist by weaving together their family and community histories, personal experiences and women of colour feminisms to enact a Latinx decolonial feminist praxis. I consider what lessons a Latinx decolonial feminist praxis can bring to bear on debates in human geography around neoliberalism, the non‐profit sector and social justice transformation.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".