Borderland Narratives of Hostility and Solidarity: Perceptions of Migrants in Social Media Discourse in Bosnia and Herzegovina
Bibliographic record
Abstract
Bosnia and Herzegovina’s internal dynamics and historically contested identities have long reinforced symbolic borders among its three major ethnic groups. Due to persistent political tensions and economic instability, the country has traditionally been characterized by high emigration rates. However, in recent years, it has functioned as both a transit and even a target country for migrants, becoming a borderland for bodies in movement too. This study analyzes the portrayal of migrants in social media discourse in BiH with the aim of examining the construction of narratives of hostility and solidarity. It employs a mixed-methods approach, integrating Qualitative Content Analysis (QCA) and Critical Discourse Analysis (CDA). The findings suggest that perceptions of hostility and solidarity are influenced by gender and ethnicity/religion of the commenter. Furthermore, the study highlights how anti-immigrant discourse operates within a broader ideological framework shaped by cultural threats and border anxieties.
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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 | 0.001 |
| 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".