Face to Face with Anti-Muslim Sentiment: A Qualitative Study into the Coping Mechanisms of Young College and University Muslim Students and Graduates in Flanders
Bibliographic record
Abstract
This explorative study seeks to provide insights into the ways young Muslim adults experience and cope with Islamophobia in Flanders. For this purpose, in-depth interviews with 14 Muslims aged 19 to 33 were conducted in the spring of 2020. Our interviewees defined themselves as Muslims and all had been confronted with racism or anti-Muslim sentiment in their daily life. Depending on reported intentions, we identified seven coping strategies in the face of such sentiment: relativization, avoidance, communication, oppression, conciliation, reaction and passive coping strategies. These forms of coping are not mutually exclusive. They are often used in combination, and they may be interchangeable in some situations. This study seeks to complement and deepen the existing literature on anti-Muslim sentiment in Flanders. Its findings should be considered as a starting point for further deductive testing of the identified typologies, meant to inspire follow-up research and serve as evidence for future policymaking.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".