Social Communication Networks of Migrants in Malta an Analysis Based on Bourdieu’s Theoretical Framework
Bibliographic record
Abstract
Malta, one of the smallest countries in the European Union, has a rapidly growing population in recent years, with its migrant population accounting for a quarter of the total population. The island country’s limited physical space and high migration rate increase daily encounters between different groups and allow for direct observation of social mobility and communication networks. This research examines the relationship between migrants’ social mobility and the formation of social communication networks by drawing on Bourdieu’s theory of capital and the concept of cleft habitus. Within the scope of the research, semi-structured interviews were conducted with thirty-five migrants; data were collected through participant observation between 2023 and 2025. The obtained data were evaluated using the thematic analysis method. The findings draw attention to the determining role of how migrants’ capital is recognised or transformed in social communication in the post-migration context. The study reveals the relationship between factors such as country of citizenship and duration of residence with social mobility and social communication processes. It is observed that the social networks of non-EU migrants, who experience downward mobility in particular, have narrowed, and this situation reinforces structural inequalities. Furthermore, the study shows that language proficiency alone is insufficient to promote inclusive social communication.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".