Bibliographic record
Abstract
While students are stereotypically a young, privileged, hypermobile group whose housing transitions are supported by institutions and families, they are, in fact, a heterogeneous population with diverse socio-economic backgrounds and housing needs. Yet, literature on home-making has neglected student accommodation, given its short-term, temporary nature. This chapter aims to contextualise student home-making at a variety of scales and, in doing so, to paint a more nuanced portrait of diverse student subjects’ experiences of home. We begin by examining how student homes are made beyond their direct control by dominant actors such as politicians, real estate investors, neighbourhood organisations, and universities, at global to local scales. We then consider students’ own experiences and practices of finding and making homes. Finally, a vignette of one international student family&s;s experiences in Canada illustrates how home can be at once in transition, insecure, and actively made through family and culture. This vignette shows how some students’ home-making experiences can be vastly different than that assumed of the stereotypical student.
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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 | 0.000 | 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 | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".