Identity work and entrepreneurial support in black communities: An autoethnographic analysis in the Quebec context | Travail Identitaire et Accompagnement Entrepreneurial des Communautés Noires: Une Analyse Autoethnographique dans le contexte Québécois.
Bibliographic record
Abstract
Summary The aim of this research is to understand the effects of entrepreneurial support systems on the identity work of black entrepreneurs. To do this, we examine three aspects: ▪ The role of bias in entrepreneurial support tools on the identity work of black entrepreneurs. ▪ The paradoxes of race-based entrepreneurial support and the risks of identity assignment. ▪ Identity work through the paradox of entrepreneurial support specific to black communities. Résumé Cette recherche vise ainsi à comprendre les effets des dispositifs de l’accompagnement entrepreneurial sur le travail identitaire chez les entrepreneur.es noir.es. Pour ce faire, nous examinons trois aspects : ▪ Le rôle des biais dans les outils de l’accompagnement entrepreneurial sur le travail identitaire des entrepreneur.es noir.es. ▪ Les paradoxes de l’accompagnement entrepreneurial basé sur des critères de race et les risques d’assignation identitaire. ▪ Le travail identitaire à travers le paradoxe d’un accompagnement entrepreneurial spécifique aux communautés noires.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".