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Record W2739545953 · doi:10.37043/jura.2016.8.1.3

INTRA-URBAN SPATIAL CHANGES AMONG WOMEN ENTREPRENEURS IN BUCHAREST (ROMANIA) DURING ECONOMIC TRANSITION (1992-2002)

2020· article· en· W2739545953 on OpenAlexaff
Audrey Kobayashi, Alexandru Gavriș, Ioan Ianoş

Bibliographic record

VenueJournal of Urban and Regional Analysis · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsQueen's University
Fundersnot available
KeywordsScale (ratio)Demographic economicsTransition (genetics)Higher educationEconomic growthBusinessGeographyPolitical scienceEconomicsCartography

Abstract

fetched live from OpenAlex

Women entrepreneurs in Bucharest, Romania, increased by six times (compared to five times for men) between the 1992 and 2002 censuses, during a period of transition from a centrally planned to a market economy. A study of over 150 territory referential units shows a concentration of business women in central, high income areas and a correlation between the entrepreneurial status and education. Data from 50 telephone interviews show that women with university degrees are more likely to operate at a city-wide or national scale, in fields such as cosmeticology, consultancy, law, design, art, and manufacturing. Women without higher education tend to operate at a local, smaller scale. Both spatial concentration and education have an impact upon business behaviour.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.192
Teacher spread0.178 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

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