Post-studentification? Promises and pitfalls of a near-campus urban intensification strategy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The concentration of students in neighbourhoods through processes of studentification has often precipitated conflicts with other residents centred on behavioural issues and perceived neighbourhood decline. Dominant policy responses have been exclusive in nature, attempting to restrict where students can live or to encourage them to live in purpose-built student accommodation in designated areas. Drawing primarily on interviews with key informants in Waterloo, Canada, I examine a process of 'post-studentification' where non-student residents are instead integrated into student-dominated neighbourhoods through urban intensification, promoted by an alternative policy approach. I outline this process and its links to other forms of urban change. Despite the promise of a more inclusive strategy to mitigate the challenges of studentification, I find that post-studentification is subject to several pitfalls related to local planning objectives, local contingencies and inequalities with respect to class, age and gender.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 it