‘Our Dreams on Life Support’: Exploring Signs of Integration, Post-Traumatic Growth and Resilience Among Quebec’s Marginalized Immigrants
Bibliographic record
Abstract
This study explores the integration experiences of immigrants who hold intersecting identities—such as being of color, queer, from marginalized ethnic and/or socioeconomic backgrounds. Quebec’s context presents additional challenges compared to other jurisdictions, including non-recognition of foreign credentials and strict secularism and language laws, such as Bill 21 and Bill 96. Through a phenomenological ethnographic research design, this study addresses aspects of sociology, psychology and education and aims to provide insights regarding the subjective experiences of these individuals. The project also allows for a creative output generated by the research itself. A review of prior research literature addresses linguistic challenges faced by newcomers, the impact of imposed acculturation processes, gender inequality in immigrant integration, and challenges posed by discriminatory policies of the host land. The study reflects these trends and themes with a focus on ten individual stories that give human voices to the voiceless statistics that underpin the study of immigrant integration. The research ultimately reveals that true integration is unattainable for many due to factors like race, language fluency, and religious or sexual identity, especially within Quebec’s distinct identity and historical response to immigration. The findings suggest that systemic barriers, integration challenges, inadequate support for trauma and language acquisition hinder newcomers' successful integration. The dissertation presents recommendations for policymakers and educators, including removing systemic barriers to credential recognition, supporting inclusive cultural integration, and enhancing emotional support services for immigrants. Keywords: Quebec, immigration, integration, francisation, assimilation, acculturation, credential recognition, Bill 21, Bill 96, immigrant trauma, Queer, BIPOC, systemic barriers.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".