Mapping homelands through virtual spaces: transnational embodiment and Iranian diaspora bloggers
Bibliographic record
Abstract
Abstract In this article I examine Iranian diaspora blogs in an attempt to understand how Iranian bloggers outside Iran create and occupy online transnational spaces. Although it is acknowledged that the internet does not make offline borders and bodies redundant, there is a need to understand how the awareness of bodily presence in offline locations and situations continually informs and shapes online expressions. Through content analysis of English language blogs by Iranians based in the USA and Canada, as well as interviews with diaspora Iranians who read and write these blogs, I advance a concept of ‘transnational embodiment’. The importance of physical travel to, proximity to, and sensory impressions of particular places within two bounded, politically distinct nation‐states shows that diasporas rely heavily on embodied experience in constructing transnational spaces and not only on psychic ties and recalled memories. Members of the second‐generation Iranian diaspora reveal unique types of embodied ties to a diaspora ‘home’ through their apparent search for authenticity.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".