MétaCan
Menu
Back to cohort
Record W2944522067 · doi:10.3167/isr.2019.340108

Residential Segregation in Israel, 1961–2008

2019· article· en· W2944522067 on OpenAlex
Noga Keidar

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIsraeli Studies Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDisadvantagedGeographyMainstreamAssimilation (phonology)Variance (accounting)Context (archaeology)Economic geographyDemographic economicsPolitical scienceSociologyDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

While scholars study residential segregation dynamics in order to understand minorities’ assimilation into mainstream society, less is known about these mechanisms in ethno-national migration contexts. This article examines Israel’s demographic dynamics from 1961 to 2008 in order to evaluate and provide a framework for the process of spatial assimilation of Mizrahim and Ashkenazim in the context of segregation from the Palestinian citizens of Israel. By using the Theil index (H), I assess the level of segregation in different geographic layers and then explore how internal migration has reduced spatial distance within the Jewish society. The analysis demonstrates that despite the disadvantaged position of Mizrahim as of 1961, levels of residential segregation had decreased by 1983. Also, boundaries changed from a variance between Mizrahim and Ashkenazim into a variance among Mizrahim only, with those who relocated as the most spatially assimilated group and those who remained as the most segregated one.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.874
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.061
GPT teacher head0.371
Teacher spread0.310 · 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