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Record W2472536762 · doi:10.5539/ass.v12n8p56

Religious Socialization in Iranian Islamic Girls Schools

2016· article· en· W2472536762 on OpenAlexvenueno aff
Fakhereh Khatibi Jafari, Steven Eric Krauss, Turiman Suandi

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamSocializationReligious educationFeelingGirlPsychologySocial psychologySociologyDevelopmental psychologyPedagogyGeography

Abstract

fetched live from OpenAlex

Although Iran’s educational system is not secular in character, many Iranian parents prefer to send their children to private Islamic schools. It is widely assumed that such schools are more effective in socializing their students toward the Shiite worldview. To date, no known studies have been conducted to investigate the impacts of the Islamic schools’ formal and informal religious education on Iranian youths’ religious commitments and preferences. In short, this article focuses on how attending private Islamic schools in Iran impacts on the construction of students’ religious beliefs and attitudes. A qualitative, phenomenological methodology was employed with thirty former students of Islamic girl schools, aged 20 to 25 years old. Overall, the findings contrast somewhat with the existing literature by demonstrating that in most of our study participants, attending Islamic schools influenced future religious preferences and commitments by increasing unpleasant feelings and critical attitudes toward religion in general, and the Islamic-Shiite religious worldview specifically.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.000
Open science0.0000.001
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 head0.019
GPT teacher head0.339
Teacher spread0.320 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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