this is NOT a drill: \nAn Expedition in Iranian Diaspora Through Photography, Calligraphy and Poetry
Bibliographic record
Abstract
The Iranian diaspora is a young and growing community that came into existence mainly after the Islamic revolution of 1979. In this study, I review historical contexts of the Iranian diaspora while comparing it to the common definition of “diaspora”. The Iranian diasporic community shows many of the common features of diasporas, however, it does not have a unified and united relationship. This community includes a multiplicity of genders, sexual orientations, religions, ethnicities, regions, political beliefs, and socioeconomic backgrounds, making it an intersectionally diverse community. The members of the Iranian diasporic community maintain an internal hierarchical relationship among themselves while congregating to form a community. Through qualitative research methodology, archival research, self-reflection, practice-based research, participant observation and a series of informal conversations, I investigate the underlying reasons for this divided and separating relationship. This diversity and separation create many different and even contradictory stories for its members. In this project, I seek to reflect upon Iranian Canadian diasporic subjects' stories in visual forms using photography, typography, and calligraphy in Canada's culturally diverse society. Furthermore, I revisit the art of translation within diaspora to argue for the complexity of the concept of diaspora and how hybrid translation can help members come closer together. I demonstrate how storytelling within diaspora assists the community in restructuring its lost cultural identity and establishing a social space to belong, in the time of spatial and cultural dislocation.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".