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Record W4412482280 · doi:10.1080/07256868.2025.2531763

The Architecture of Belonging: Space, Time, and Embodiment in Asghar Farhadi's <i>The Past</i> (Le Passé 2013)

2025· article· en· W4412482280 on OpenAlexaff
Reza Ashouri Talooki

Bibliographic record

VenueJournal of Intercultural Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicNorth African History and Literature
Canadian institutionsKeyano College
Fundersnot available
KeywordsArchitectureSpace (punctuation)PhysicsOpticsArtComputer scienceVisual arts

Abstract

fetched live from OpenAlex

This study examines Asghar Farhadi’s film The Past (2013) through the lens of home and belonging in transnational contexts. Utilizing frameworks from diaspora studies, cultural theory, and film studies, it analyzes how Farhadi constructs notions of home through cinematic language, character development, and narrative structure. The analysis focuses on spatial, temporal, and embodied experiences of home, exploring how domestic spaces like Marie’s house serve as sites of cultural negotiation, how past experiences shape identities, and how sensory memories contribute to belonging. The study argues that Farhadi portrays home as a dynamic concept transcending national boundaries, illuminating the ongoing process of homing in diaspora. By offering a nuanced exploration of transnational identities, this analysis enriches understanding of Farhadi’s work and contributes new insights into the potential of film to articulate complex experiences of migration and cultural displacement in a globalized world.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.022
Scholarly communication0.0060.007
Open science0.0010.005
Research integrity0.0010.002
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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