MétaCan
Menu
Back to cohort
Record W4225709055 · doi:10.3138/jrpc.2021-0006

Wandering Dervish of <i>Laila Majnu</i>: Sufism and Socio-Political Mobilization in Kashmir

2022· article· en· W4225709055 on OpenAlexvenueno aff
Waseem Ahad, Selma Koç Akgül

Bibliographic record

VenueJournal of Religion and Popular Culture · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSufismIslamPoliticsHinduismMuslim worldNationalismSociologyHistoryReligious studiesGender studiesPhilosophyLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Historically Sufism has been portrayed as an acceptable mode of Islam in Bollywood and political Islam as a threat to Indian secular ethos. This has been particularly true of Kashmir films. However, Bollywood’s emphasis on the syncretic dimension of Sufism is a misappropriation of Kashmir’s Islamic history. This study establishes that Kashmir’s Sufism has to be seen as a socio-political movement that has been instrumental in liberating the lower caste Kashmiris from the Brahminic hegemony. Also, Islamization in Kashmir has to be seen as a historical evolution of a community, rather than a transition from one set of beliefs to another. The syncretization of Hinduism and Islam in Hindi cinema is an assertion of the postcolonial nationalist imagination of a secular India. This assertion is a product of the anxieties of loss of the territory with which the nation shares a turbulent relationship. Sufism conceived of in this way becomes instrumental in ideological co-optation of the Muslim-majority Kashmir. The study probes Laila Majnu’s (2018) wandering dervish protagonist to chart out the representation of “individualistic” and “renunciatory” dimension of Sufism that couches Orientalist notions of the primitive and repressive “Muslim mind”. The apolitical narrative of the film mandates a critical inquiry since it is set amidst the politically charged atmosphere of Kashmir.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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 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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Religion and Popular CultureSame topicSouth Asian Cinema and CultureFrench-language works237,207