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Record W3190662016 · doi:10.5539/jpl.v14n4p87

The Motives and Obstacles in Iranian Women’s Participation in Political Life of the Country

2021· article· en· W3190662016 on OpenAlexvenueno aff
Samira Esmaeili

Bibliographic record

VenueJournal of Politics and Law · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsDistrustPolitical scienceParliamentSociologyEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

The article deals with the overview of the main obstacles in the Iranian women’s participation in the country’s political life originating from the national, cultural, social and economic aspects of Iranian society. Much attention is paid to the factors that motivate both Iranian women and men to participate in politics, as well as the problems that Iranian women face while struggling for their place in the parliament. The peculiarities of the political parties’ activities, the financial aspect of the candidates allowing them to take part in election campaigns, distrust of women in Iranian society (in terms of their public role), the lack of electoral quotas for women are defined as the main factors of their non-participation in the elections. However, Iranian women’s motivation, on the one hand, and the country’s political system, on the other hand, play a significant role, because they are key internal and external factors to be taken into account. After the victory of the Islamic Revolution in Iran in 1978, the situation with women’s rights in the country improved supported by the Government’s constitutional establishment of equal rights of men and women in political life of Iran. However, other spheres remained unchanged due to strong religious influence. Only in the 1990s the rights of Iranian women to participate in the country’s politics were addressed by domestic and foreign scholars, though their studies do not provide an in-depth analysis of the problems of Iranian women concerned about the participation in political life of the present-day Iran and their solution.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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