‘At least it’s not a ghetto anymore’: Experiencing gentrification and ‘false choice urbanism’ in Rotterdam’s Afrikaanderwijk
Bibliographic record
Abstract
Gentrification has become a central pillar of urban policy in cities around the world. Proponents often frame it as a necessity and the sole alternative to neighbourhood decline. Critics call this a ‘false choice’ as it ignores other possibilities for improvement without gentrification. But how do working-class residents who live through the process of gentrification view the impact it has on their neighbourhood? Do they see it in such a stark binary way? This article addresses these questions by using qualitative interviews with long-term residents of the Afrikaanderwijk, a multicultural neighbourhood in Rotterdam where municipally-led gentrification is taking place. In contrast to much of the Anglo-Saxon literature on experiencing gentrification, our respondents had far more mixed, complex and ambivalent perspectives on the process. To some extent, this was due to the neighbourhood’s recent history as a stigmatised ‘ghetto’ and the expectation that the arrival of white, ethnically Dutch middle-class people would help to improve the neighbourhood, which was ranked worst in the country in 2000. We also stress the role of local context, such as the early phase of gentrification and the comparatively strong social housing sector and tenant protection laws in the Netherlands, in contributing towards a more nuanced experience of gentrification.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".