For Us by Us (FUBU): The Politicized Space of Black Women's Entrepreneurship in Canada
Bibliographic record
Abstract
The Black presence in Canada is most commonly described as a homogeneous foreign presence that emerged during the 1960s. In this paper, I explore how Afro-Caribbean women entrepreneurs in creative industries deploy a counter-discourse against hegemonic racist white discourses of blackness in Canada. The counter-narrative they deploy, that I call For Us by Us discourse, challenges the official national story of Blacks in Canada. Black women rearticulate, through their business activities, a Canadian blackness that is defined by them. This articulation is described in both local, as rooted in Canada and global, Black diaspora, ways. The notion of the Black diaspora allows for great malleability and fluidity of notions of identity and belonging. This powerful political counter-discourse can, however, also be exclusionary when it too homogenizes identity. This counter-discourse, however contested, is made possible through entrepreneurship. Participation in this status of work is very strategic, in that, it allows for the creation of political spaces, aimed at developing community, that are often denied to Blacks.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.051 | 0.015 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".