Assimilation, hybridity and encountering. The cinematic representation of queer migrants from Muslim backgrounds living in Europe
Bibliographic record
Abstract
Abstract Muslim migrants are the counter-figures through whom the modern Western identity is shaped. In Islamophobic discourses, they are constructed as inherently sexist and homophobic. In this ideological context, queer migrants coming from Muslim countries occupy an intersectional social location between Islamophobia and homophobia. In this paper we analyze the cinematic representation of queer migrants living in Europe coming from Muslim backgrounds. The aim of the paper is to analyze whether the films reproduce or subvert the Western “gay narrative”. The corpus of analysis is made up of 19 films which were studied through a process of categorization of the relevant fragments in a matrix. The films are classified in three categories according to their approach. The first gathers those films that hold an assimilationist discourse, according to which queer migrants should embrace the Western “gay narrative” and abandon the values of the communities of origin. In the second category, the films propose a hybrid perspective in which characters merge elements from both the country of residence and the cultural background of origin in the exploration of their sexuality and gender. The films in the third category revolve around a metaphorical relationship between a queer migrant and a native person, promoting a reflection on the possibilities of transformative encounters that break the boundaries between supposedly opposed social groups.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".