Le réseautage ethnique des femmes entrepreneures immigrantes : le rôle des incubateurs spécialisés
Bibliographic record
Abstract
Au cœur de l’écosystème entrepreneurial canadien, les femmes immigrantes émergent comme des forces dynamiques, apportant énergie et diversité. Elles continuent toutefois à faire face à des défis importants, tels que la persistance de stéréotypes et de préjugés, notamment autour de leur tendance à mobiliser principalement un réseautage ethnique, souvent considéré comme inadéquat et limitant. En se basant sur l’expérience de 14 entrepreneures immigrantes à Montréal, cet article démontre comment le réseautage ethnique offre un soutien professionnel et émotionnel essentiel aux femmes entrepreneures immigrantes. Ce type de réseautage n’est pas simplement un instrument au service de l’activité entrepreneuriale, mais également une source d’identification et de représentativité professionnelle. Dans cette optique, les incubateurs dédiés à l’accompagnement entrepreneurial de communautés féminines diverses permettent de faire grandir le réseau ethnique des entrepreneures immigrantes, tout en servant d’intermédiaires pour l’insertion de ces dernières au sein de communautés plus larges.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".