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Record W2014057400 · doi:10.5539/ass.v7n3p260

Women Empowerment and Good Urban Governance in Iran

2011· article· en· W2014057400 on OpenAlexvenueno aff
Razieh Rezazadeh

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentCorporate governancePaternalismPolitical scienceGood governanceEconomic growthSociologyBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

The purpose of this paper is to examine the role of women in urban management and possibility of a more inclusionary approach to their active participation. Here, first the underlying concepts and principles of good urban governance and special needs of women in urban settings are discussed; next capabilities of Iranian women for active participation in good urban governance are examined. The study shows that women are in utter need to be empowered and to take more active role in their urban lives. Also it shows that Iranian women have used the means available to them to improve their capabilities. It also shows that there are needs for further research to better understand the socio-cultural obstacles to higher participation rate of women in governance. The paper is an original investigation of Iranian women's attempt to improve their lives through the available means to them within a paternalistic society. It shows their success and failures and draws future directions of their latent movement.Keywords: Urban governance, Empowerment, Women, Iran

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.217
Teacher spread0.201 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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