“It gave us a thrill”: Emotions, exile, and narratives of (dis)engagement among activists from Syria
Bibliographic record
Abstract
Building on qualitative interviews with Syrians who participated in the anti-regime movement of 2011 and now live in Berlin and Oslo, the article unpacks the ways that these contexts affected participants’ decision to continue or disrupt their activism in exile. By analyzing their activist trajectories from revolution to exile and drawing on the concept of emotional resonance, I reveal how Berlin and Oslo provided participants with different environments when dealing with their past experiences of participation. I show that while the mobilizing structures of Berlin provided spaces for activism that resonated with the emotional needs of activists, enabling them to continue activism on behalf of Syria, the mobilizing structures of Oslo failed to produce spaces that could respond to activists’ needs, playing a part in their disengagement there. The article extends the concept of emotional resonance and adds to the study of Syrian diasporas and emotions in the Syrian uprising.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".