The Unacknowledged Ones: An Investigation of The Resistance of LGBTQI+ Syrians
Bibliographic record
Abstract
The ongoing tribulations in Syria have catapulted the number of displaced refugees to devastating levels. The trauma experienced by Syrian refugees extends onward from Syria; Syrian Canadians, regardless of their citizenship status, face a host of isolating experiences such as discrimination, racism, Islamophobia. Lesbian, gay, bisexual, transgender, queer, and intersex (LGBTQI+). Syrians are particularly susceptible to these injustices. LGBTQI+ Syrians face discrimination from multiple sources, including homophobia from their cultural groups, and racism, Islamophobia, and homophobia from Western cultures. This can contribute to the development of psychological difficulties, and appreciably compromise their integration into social networks. The purpose of this study was to investigate how the lived experiences of discrimination and oppression impacted the lives of the eleven LGBTQI+ Syrians that were interviewed as participants in this research, and the types of resistance and resilience-based coping strategies that they utilized to promote successful integration of their multiple identities while settling into Canadian society. This study employed a qualitative approach and was informed by minority stress theory while operating within an intersectional framework. Additionally, the study used a community-based, narrative approach that explored the tribulations and resistance strategies of LGBTQI+ Syrians concerning their intersecting identities. The main finding of this dissertation revealed that there is ongoing discrimination which left the participants feeling inferior and led to complications in integrating their identities within a Syrian and Canadian context. Results indicated three significant themes regarding coping strategies that participants utilized in response to experiences of discrimination, humour, therapy, and social support. This dissertation added empirically supported culturally responsive practice insights, specifically tailored culturally responsive training and community resources, which are expected to improve the design and delivery of interventions that aimed to promote psychosocial wellbeing and positive experiences of immigrating to Canada for LGBTQI+ Syrians.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".