Friendly, not friends: migrant settlement and diverse social ties in Australian regional cities
Bibliographic record
Abstract
Visa policies and pathways are increasingly driving international migration to Australia’s regional and rural centres. Often embedded within a multicultural imaginary, notions of friendliness and neighbourliness are instilled in the ‘small town’ narratives of these regional cities. However, little is known about whether this friendliness translates to the formation of deeper, meaningful connections that create the conditions for a sense of belonging to emerge. Drawing on empirical data from two regional cities across Queensland, this research investigates the challenges and barriers to forming friendships between migrant communities and ‘local’ Australian residents. We explore how co-ethnic relationships, while significant, do not always benefit and bolster migrants’ sense of belonging in the regions. Instead, we argue that inter-ethnic friendships with other migrant communities offer pathways to belonging in regional contexts. In doing so, we challenge prevalent assumptions regarding the inherent value of co-ethnic ties and the tensions so often raised within inter-ethnic relations.
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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 | 0.000 |
| 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".