MétaCan
Menu
Back to cohort
Record W4412131369 · doi:10.1080/15348423.2025.2531322

Sacred Laughter: Humor, Religious Authority, and Clerical Identity in Kamal Tabrizi’s <i>The Lizard</i> (2004)

2025· article· en· W4412131369 on OpenAlexaff
Reza Ashouri Talooki

Bibliographic record

VenueJournal of Media and Religion · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsKeyano College
Fundersnot available
KeywordsLaughterIdentity (music)SociologyGender studiesReligious studiesAestheticsArtPhilosophyPsychologySocial psychology

Abstract

fetched live from OpenAlex

This paper examines Kamal Tabrizi’s The Lizard (Marmulak, 2004), focusing on its use of comedic role reversal, situational irony, and satire to interrogate clerical authority in post-revolutionary Iran. Drawing on frameworks from Lindvall, Feltmate, Schweizer, and Pak-Shiraz, the study situates the film within global religious satire and Iran’s socio-political context. Through scene analysis, the paper shows how the protagonist’s transformation from thief to revered cleric exposes the performative and contingent nature of religious legitimacy, prompting audiences to question boundaries between appearance and authenticity, institutional power and personal morality. By humanizing clergy and advocating pluralism, the film challenges monolithic representations of Shi’i Islam and affirms ethical agency and communal responsibility. The study also explores the film’s reception, censorship, and enduring popularity as evidence of the contested nature of religious authority in Iran and highlights humor’s transformative role in cinematic critique and cultural renewal.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
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
Bibliometrics0.0010.000
Science and technology studies0.0050.008
Scholarly communication0.0030.002
Open science0.0000.002
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 head0.013
GPT teacher head0.304
Teacher spread0.291 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Media and ReligionSame topicJewish and Middle Eastern StudiesFrench-language works237,207