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Record W2788887340 · doi:10.4000/mediterranee.8378

Vertical segregation: Mapping the vertical social stratification of residents in Athenian apartment buildings

2016· article· en· W2788887340 on OpenAlexaboutno aff
Θωμάς Μαλούτας, Stavros Spyrellis

Bibliographic record

VenueMéditerranée · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsApartmentResidenceSocial stratificationQuarter (Canadian coin)Stratification (seeds)GeographyEthnic groupMetropolitan areaHorizontal and verticalPopulationStock (firearms)Economic geographySociologyCivil engineeringDemographyEngineeringArchaeologySocial science

Abstract

fetched live from OpenAlex

This paper is about vertical segregation in Athens and the ways it has evolved up to the early 2010s. Vertical segregation refers to social stratification by floor of residence in the typical apartment building that dominates the city’s housing stock. Unlike its Parisian precedent, vertical segregation in Athens was developed much more recently (third quarter of the 20th Century), its social hierarchy is in the opposite direction (wealthier households occupy the higher rather than the lower floors) and its importance is not marginal, since it affects more than a fifth of the metropolitan population.Mapping vertical segregation is a challenge since the different groups –social or ethnic– are located the one on top of the other. Ordinary segregation mapping depicts the areas of vertical segregation as mixed areas, but provides no indication on whether they are simply mixed or their population is also vertically stratified according to class or ethnicity. The paper introduces a mapping technique to overcome this difficulty.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.372

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 studies0.0000.001
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 head0.078
GPT teacher head0.312
Teacher spread0.234 · 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

Citations26
Published2016
Admission routes1
Has abstractyes

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