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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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 studies0.0050.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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