Sing A Song for Home: How Displaced Iranian Song-Writers in LA Conceive of Home and Homeland
Bibliographic record
Abstract
We ask how being apart from home impacts the very definition of home. We conducted a content analysis of songs produced by Iranians who have left their first “home” in Iran and resettled in Los Angeles. Our findings suggest that distance from one’s home expands the definition and image of home from a structure where one dwells and calls home, to an imagined community at the personal (home family), local (hometown), and regional (homeland) levels. The 1979 revolution in Iran caused many people, including singers and songwriters, to immigrate. Many of them moved to Europe and North America. We analyzed songs from 1979 to 1999, produced in Los Angeles, as the heart of Iranian pop music after the revolution, focusing on the concept of “home.” Four main themes emerged: the “body of the home,” which includes windows, niches, and gardens; “homeland as home;” “home and family;” “home as a heaven to remember and a haven for return,” which involves home as a place for making memories and recalling them and home as a retreat. We explain how these themes are related to Iran’s situation post-revolution, the image of the Iranian home, and the singers’ situation in Los Angeles after the revolution. The most significant finding is the relationship between home and homeland. Songs use home as a metaphor for the homeland, even when describing the body of the home. The sadness about the destroyed home, hope to return to home, and the tendency to come back to their mother (or motherland) point to the singers’ emotions about their homeland. The distance from home has changed the conceptualization of “home.” The borders of home are not around the songwriters’ houses or intimate families anymore, but they are around the homeland.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".