A Black Perspective on Canada’s Third Sector: Case Studies on Women Leaders in the Social Economy
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
While many Black Canadian women are innovators in the third sector, the contributions of Black people to the social economy go largely unnoticed in the academic literature. The social economy is not only a place of refuge for African-Canadians; it also provides a way for racially marginalized communities to co-opt resources. In fact, racialized Canadians are driven to be active in the third sector by the systemic bias and racism in the Canadian economy and society. To understand the place of the social economy among racialized people, we must recognize that Black and racialized people are not merely on the receiving end of aid and support, but that they lead and work within the social services sector. This paper utilizes Black liberation theory—specifically the concepts of self-help and co-operation—to analyze the work of five Black women leaders in non-profit organizations that reach thousands of people in Toronto. This study confronts the erasure of Black women in the third sector, and argues for the need to link liberation theory with the field of social economics in order to fully understand the significance of the social economy for Black and racialized people.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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