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Record W1747229805

Geographical Perspective on Gender Relations in Rural Areas: A Comparative Study in North and West of Iran

2015· article· en· W1747229805 on OpenAlexvenueno aff
Fazileh Dadvar-Khani

Bibliographic record

VenueJournal of rural and community development · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyGender relationsEthnologyGender identityIdentity (music)Political scienceSociologySocioeconomicsGender studies
DOInot available

Abstract

fetched live from OpenAlex

Today, for a better understanding of rural features, we need a deeper understanding of our rural areas where social and gender relations are well understood. The goal of this comparative study is to identify the effect of geographical variation on creating gender identity and female participation in rural areas. To achieve this goal, two geographically different rural locations were examined in Iran—the Langroud Township in the North, and the Paveh Township in the West of Iran. The statistical population of the study were women and men who live in these rural areas and the data was gathered through a questionnaire. The results indicate significant differences in many aspects of the outlook between women and men in these two studied areas, towards women's social rights and duties regarding their participation in the economic and social activities. Keywords: gender relations, rural areas, women's participation, men's attitudes, women and agriculture, Iran -------------------------------------------------- Resume De nos jours, pour une meilleure comprehension des caracteristiques rurales, nous avons besoin d'une comprehension approfondie de nos zones rurales ou les rapports sociaux de sexe sont bien compris. L'objectif de cette etude comparative est d'identifier l'effet de la variation geographique sur la creation de l'identite de genre et la participation feminine dans les zones rurales. Pour atteindre ce but, deux lieux ruraux geographiquement differents ont ete examines en Iran—La municipalite de Langroud dans le nord, et celle de Paveh dans l'ouest du pays. La population statistique de l'etude fut des femmes et des hommes qui vivent dans ses zones rurales et les donnees furent regroupees dans un questionnaire. Les resultats indiquent des differences significatives dans divers aspects du point de vue entre les femmes et les hommes de ces deux zones etudiees, concernant les droits sociaux des femmes et les devoirs par rapport a leur participation aux activites economiques et sociales.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.285
Teacher spread0.220 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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