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Record W7047678495

Iranian diasporic identity: An ethnographic performance study of Iranian immigrants

2016· other· en· W7047678495 on OpenAlexaboutno aff

Bibliographic record

VenueCSUN ScholarWorks (California State University, Northridge) · 2016
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaEthnographyImmigrationScholarshipIslamPerspective (graphical)LyricsParticipant observation
DOInot available

Abstract

fetched live from OpenAlex

Using ethnographic, dramatistic, and oral history approaches over the last five years, I have gathered nearly fifty stories of diasporic journeys of Iranians in the aftermath of the Islamic Revolution of 1979. These stories were gathered during interviews, transcribed by me, and then developed into short performance pieces that included lyrics and songs. The performances were then staged and presented to audiences in theater venues and libraries in Los Angeles and several other locations throughout the United States and Canada. These performances constitute a unique archive of the history of contemporary Iranian diasporic experiences. They are autobiographic vignettes that have helped constitute an artistic vision of Iranian exiles??? own sense of community and their migratory experiences. In this thesis I will reflexively discuss the process of production of the performances and some of the responses they have received from the narrators and the audiences. Together, the diasporic performance fieldwork and the construction of a methodological perspective constitute a new contribution to the existing literature of Iranian diaspora and further an exciting contribution to scholarship in qualitative research in communication studies.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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.

Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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