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Record W3172089382 · doi:10.25158/l10.1.28

Review of <i>Tehrangeles Dreaming: Intimacy and Imagination in Southern California Iranian Pop Music</i> by Farzaneh Hemmasi (Duke Press)

2021· article· en· W3172089382 on OpenAlexaff
Siavash Rokni

Bibliographic record

VenueLateral · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsExpatriateDiasporaEthnographyIdentity (music)Music industrySociologyMedia studiesMovie theaterHistoryAnthropologyArtGender studiesArt historyVisual artsAestheticsMusic educationArchaeology

Abstract

fetched live from OpenAlex

Tehrangeles Dreaming is the first book about the Tehrangeles music industry, that is, the Iranian diaspora music industry brought to life by the expatriate Iranian artists and music producers who settled in Los Angeles and Southern California after the 1979 Iranian revolution. Farzaneh Hemmasi uses an ethnographic approach in combination with an analysis of diaspora media discourse in order to “examine expatriate imaginations of influence on, and intimacy with, their global Iranian audiences” (26). At its core, the book deals with the imagining and reimagining of Iranian identity by the artistic community that creates music and media content for Iranians in Iran and across the 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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.008
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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