Negotiating Canada’s Labour Market: The Case of Nigerian Women in Ontario
Bibliographic record
Abstract
In this dissertation, I analyze the realities of Nigerian women economic migrants in the Ontario labour market.I use critical race theory and intersectionality lenses to examine the lived experiences of high-skilled Nigerian women in the labour market.I argue that despite legal measures for employment equity, labour market differentiation occurs for the study group.Systemic discrimination produces and maintains aggravated levels of inequality within the labour market.I trace the historical trajectory of legislative frameworks on employment equity in Canada and Ontario, highlighting key legislation.A nuanced understanding of the experiences of the interviewed Nigerian women and civil service organisations reveals that legal measures can construct unfavourable labour market experiences for some groups of people and that legal frameworks alone are incapable of stemming systemic discrimination.I demonstrate how the challenges faced by Nigerian women economic migrants in the Ontario labour market go beyond the legal to the sociolegal.My analysis calls into question the efficacy of current measures to alleviate systemic discrimination in the labour market.This dissertation suggests that a review of current antidiscrimination measures (including enforcement mechanisms) is essential to deal with the contemporary challenges of high-skilled Nigerian women in Ontario.A rethinking of employment equity (as is), vis-a-vis Sub-Saharan African women in Ontario, is due.greatest cheerleader and sounding board in the starting stage of my study.Had he not passed away, we would be celebrating this feat together.I also dedicate this to all racialized women showing up and showing out despite the barriers faced.Also, I dedicate this to the younger me, who has not lost the sparkle in her eyes, the smile on her lips, or the ability to dream.Completing a Ph.D is a collective effort, so I will not fail to acknowledge people who have contributed to the realisation of this day.I thank my Ph.D examiners, Amrita Hari and Margaret Watson, committee members Christina Gabriel and Ania Zbyszewka, and of course, my caring supervisor Megan Gaucher for guidance, direction, and support throughout the process
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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 | 0.003 |
| Science and technology studies | 0.060 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 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".