Divergent paths, same destiny: A Bourdieusian perspective on refugee families' negotiation of urban school transition in the US
Bibliographic record
Abstract
Abstract This article documents five refugee families and their children's efforts to reestablish themselves in an urban school context in the US. A thematic analysis of the families’ negotiation with the urban school system, the language programmes and their home engagement practices suggests that they were subjected to symbolic violence brought upon by the precarious context of reception, the monolingual ideologies and the hegemonic practices of the urban schools and resettlement policies and agencies. Such symbolic violence systematically fractured their language learning, educational success, and upward social mobility. Therefore, despite their divergent paths of immigration and resettlement, the children shared similar stories of system blockage, inertia, and fragmentation. These shared trajectories suggest the need for multi‐layered changes to remove blockages in the education and immigration system, transform the dispositions and practices of the key players, including policy makers, school administrators and teachers, and raise critical consciousness among the refugees.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.043 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".