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Record W1966079367 · doi:10.1177/0096144205284400

Neither Fight Nor Flight

2006· article· en· W1966079367 on OpenAlexaff
Jordan Stanger-Ross

Bibliographic record

VenueJournal of Urban History · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsShalomMetropolitan areaJudaismFlexibility (engineering)SociologyGeographyPolitical scienceArchaeologyEconomicsTheologyManagement

Abstract

fetched live from OpenAlex

This article uses case studies of two Philadelphia synagogues to argue that postwar cities remained places of opportunity for creative local institutions and that the geographic flexibility of synagogues did not necessarily entail flight from declining urban areas. After their North Philadelphia Jewish residential enclave dissipated, Mikveh Israel and Rodeph Shalom recast the meaning of community and membership to accommodate their dispersed congregations. Rather than remaining neighborhood synagogues, Mikveh Israel and Rodeph Shalom connected members dispersed across the metropolitan area who were committed to preserving their religious institutions at the center of the city. Postwar Jewish community at these two synagogues developed metropolitan contours.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0110.021
Scholarly communication0.0060.009
Open science0.0010.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0180.005

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 head0.019
GPT teacher head0.232
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2006
Admission routes1
Has abstractyes

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