Linguistic landscape in the city of Isfahan in Iran: The representation of languages and identities in Julfa
Bibliographic record
Abstract
Abstract This paper reports on the diversity of languages displayed in the linguistic landscape of Julfa district, a largely Armenian dominated area, in the city of Isfahan in Iran. The data included a corpus of 323 photographs taken from the top-down and bottom-up signage in this quarter of the city. Ethnographic fieldwork was also conducted to reach a deeper understanding of the linguistic landscape in Julfa. The results of the analyses indicated that Julfa, as home to Armenians in diaspora and also a luxurious neighborhood frequented by more modern strata of the Isfahani society, is occupied more noticeably with Persian and English language and to a lesser extent with Armenian language. The findings further revealed that this neighborhood represents not only Iranian but also Armenian and Christian identities. The results are analyzed based on Bourdieu’s theory of language as a symbolic power. Furthermore, the collective identity and language ecology of Julfa in Isfahan are discussed. At the end, some lines of research for further studies in the LL of Iran are provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".