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Record W2941555846 · doi:10.1386/ac.30.1.109_1

Asghar Farhadi’s nuanced feminism: Gender and marriage in Farhadi’s films from Dancing in the Dust to A Separation

2019· article· en· W2941555846 on OpenAlexaff
Mostafa Abedinifard

Bibliographic record

VenueAsian Cinema · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsForegroundingMovie theaterFemininityGender studiesFeminismMasculinityFilm theoryFeminist theorySociologyArtLiterature

Abstract

fetched live from OpenAlex

Aiming to contribute towards studies of gender in Iranian cinema, this article draws on feminist and masculinities theories to examine representations of gender in the films of Iranian director Asghar Farhadi, including his first Academy Awardwinning film, A Separation. While most literature on gender in Iranian cinema equates gender with femininity and women, I show that foregrounding men and masculinities in the analysis of Farhadi’s films enhances our understanding of his films’ feminist concerns and of the underlying structures of gender in current Iranian society, as represented in these films. Furthermore, I argue that theories of masculinity can help in expanding the corpus of Iranian feminist cinematography. In current accounts of Iranian feminist cinema, scholars refer to well-known sets of films that mostly feature female leads; however, reading Farhadi’s movies in light of masculinities theories shows that even though the films focus on both men and women, a nuanced feminism has been ever present in his works.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.786

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 integrity0.0000.000
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 head0.021
GPT teacher head0.321
Teacher spread0.301 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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