Not settlement but movement: Exploring mobility as central to the wellbeing of young people from migrant backgrounds building lives from rural Australia
Bibliographic record
Abstract
Australian federal, state, and local governments have invested in international migration prevent population decline and promote economic development in regional and rural Australia. While geographic mobility is integral to life in many rural communities, policy and research approaches to ‘successful settlement’ frequently centre on insufficient ideals of stasis. Based on participatory research with young people from migrant and refugee backgrounds in regional and rural Australia, this paper explores everyday mobilities that were central to the wellbeing of this group, conceptualising successful regional and rural settlement as fundamentally mobile. We conceptualise mobility from a rural perspective, drawing from geographer Anne Buttimer’s ‘home and reach’ framework, and a racialized perspective, informed by phenomenological approaches to whiteness and racialized embodiment developed by Sara Ahmed and Helen Ngo (Ahmed Citation2007; Ngo Citation2017). For young people in this study, the familiar spaces of home were characterised by discomfort and existential precarity associated with ‘being not’ white, which drove them to reach for spaces of respite and existential security elsewhere. At the same time, iterative processes of return supported an embodied connection to home as the place where their relational lives were centred. Ultimately, the freedom to leave and return underpinned their possibilities for staying to build a meaningful, enduring sense of home.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| 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 source (direct Gemma or distilled Codex), 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".