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Record W4400593416 · doi:10.47743/ejes-2024-0111

Does women's empowerment improve women's education?A cross-sectional study of 27 transitional post-communist countries

2024· article· en· W4400593416 on OpenAlexaff
Alena Auchynnikava, Nazim Habibov, Yunhong Lyu

Bibliographic record

VenueEastern Journal of European Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsTrent UniversityUniversity of Windsor
Fundersnot available
KeywordsEmpowermentEducational attainmentUnit (ring theory)Asset (computer security)OddsDemographic economicsCommunismHigher educationSociologyEconomic growthLogistic regressionEconomicsPolitical sciencePsychologyPoliticsMedicine

Abstract

fetched live from OpenAlex

The paper examines the correlation between patriarchal attitudes, women’s asset ownership, participation in household decision-making and women's educational attainment across 27 post-communist countries. It hypothesizes that patriarchal attitudes hinder women's educational achievements while women's asset ownership and participation in household decision-making facilitate them. Utilizing regression analysis, marginal effects, post-regression simulation, the study tests and confirms these hypotheses. Results show that for every unit increase in women's asset ownership and participation in decision-making, the odds of achieving higher educational attainment increase by approximately 35.7% and 16.5%, respectively. Conversely, a unit increase in patriarchal attitudes decreases these odds by 15.8%. The findings underscore the importance of state and civil society commitment to addressing gender disparities in education.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.322
Teacher spread0.306 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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