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Record W2938997441 · doi:10.5167/uzh-24109

Zurich's Langstrasse quarter in the context of gentrification and urban housing market processes

2009· article· en· W2938997441 on OpenAlexaboutno aff
C Craviolini, Corinna Heye, André Odermatt

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsGentrificationQuarter (Canadian coin)Context (archaeology)Economic geographyPopulationStock (firearms)GeographyCensus tractEconomic growthDemographic economicsEconomicsSociologyDemographyCensusArchaeology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.229
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes1
Has abstractyes

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