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Adjusting to change: privilege and place in post‐Soviet central Moscow

2001· article· en· W2057193348 on OpenAlexaffvenue
James H. Bater

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPrivilege (computing)Social stratificationDemocracySocialismPolitical scienceSocial changeCentral cityPlanned economyPopulationDevelopment economicsGeographyPolitical economyEconomySociologyEconomic geographyEconomicsPoliticsDemographyCommunismLaw

Abstract

fetched live from OpenAlex

In the new Russia where one lives plays an important part in influencing life chances, and consequently in shaping opinions regarding the changes since the collapse of the Soviet system in 1991. This study of the social geography of central Moscow is based on surveys of sample populations undertaken in 1993 and 1997. Post‐Soviet central Moscow has undergone substantial change in population, social class structure and economic function during the transition from socialism to a market economy. Tens of thousands of central city residents have been relocated in the wake of re‐development in the central city and there is evidence of growing social stratification as the inherent high value of central city space is reflected in the post‐Soviet market place. Quality of life indicators suggest that there remains a wide gap between expectations raised by the advent of democracy and the market economy and the reality of daily life and labour for central city residents.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0050.006
Scholarly communication0.0040.001
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.228
Teacher spread0.212 · 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

Citations11
Published2001
Admission routes2
Has abstractyes

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