The knowledge economy city: Gentrification, studentification and youthification, and their connections to universities
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
We investigate the spatial relationships among three prominent facets of contemporary urbanism – gentrification, studentification, and youthification – in the context of Canadian post-secondary educational institutions (universities and colleges). We conduct the analysis in three major Canadian cities with substantial knowledge economy sectors using confidential Statistics Canada census files, which include information on individuals and their geographies, and the location of universities and colleges, by enrolment size. We document ‘spillover’ effects of expansions in student enrolment and the building of campuses by analysing the geographic correlations among universities and gentrification and youthification. Studentification and youthification are to some extent coincident but not entirely, whereas the connection to gentrification is more complex. Our work provides novel insight into the ways the three different facets of contemporary urbanism overlap and contribute to our understanding of how universities and colleges, as hallmarks of the knowledge economy, influence the social geography of cities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| 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