Zurich's Langstrasse quarter in the context of gentrification and urban housing market processes
Bibliographic record
Abstract
The paper analyses the development of the Langstrasse quarter - a formerly rundown area next to Zurich’s Central Business District - in relation to urban gentrification and displacement. The results demonstrate that there has been an upwards revaluation of the Langstrasse quarter and a distinct change in its population characteristics over the period under study from 1993 to 2007. The presence of foreign communities, which was one of the quarter’s defining features, has declined and the age structure of residents has changed. However, there is no evidence of large-scale gentrification with substantial upgrading of properties or social structure. Presently, the development of the quarter shows more insular gentrification that is restricted to a number of separate areas or buildings. Although not yet widespread, the impact of renovation and of building work in particular on the type of resident and the housing stock structure is far more pronounced in this quarter than in the city as a whole. An analysis of the relationship between social structure and building activity indicates that renovation and new-build have a different role in the context of gentrification and displacement. The absence of any swift and large-scale gentrification process in the quarter indicates that the Swiss housing market and Swiss tenants’ rights – as well as the local ownership structure and access to investment loans – have an important role to play.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".