Differences and similarities in student residential mobility during the COVID-19 pandemic in Temuco and Montréal
Bibliographic record
Abstract
An analysis of the motivations of university students from Temuco (Chile) and Montréal (Canada) to change residence during the COVID-19 pandemic is presented based on data from a simultaneous survey in the two cities carried out in 2021. Quantitative analysis based on Principal Component Analysis showed a bifurcation between both cases despite the similarities they presented. Contrary to expectations that moves are first and foremost about the redundancy of student accommodation during the temporary transition to online learning or the need for more amenable study space in the home, the results highlight the primacy of psychological motivations, although economic, material and to a lesser extent family-related reasons for moving remain important. The context of each case study also allows for establishing differences between motivations more closely linked to material aspects and psychological and physical well-being in Montréal, and family-related motivations and psychological well-being in Temuco. Exploring this tension between individual motivations and urban contexts opens a promising way forward for new comparative studies in student housing and studentification research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".