Cultural Displacement: Gender and the design of identity of the Iranian diaspora, from Iran \n to Toronto -‐ 1979 to 2013.
Bibliographic record
Abstract
The use of material objects to construct and adorn one’s domestic space reveals much more than taste. The ways in which female immigrants of Iranian origin in Toronto use their possessions to fashion their domestic realms represents a valuable point of entry into the study of the intertwine operations of culture and memory. Indeed, the interior of the home is the primary arena for cultural performance, whether continuing, reconstituted or emerging. While the domestic space of the home provides an area for the demonstration of values and identity, each person negotiates this fact in a different and unique ‘material’ language. \nIt is clear in the case of female Iranian emigrants in Toronto that material objects are centrally important in the processes of resettlement. This study of the role of objects in immigrant experience turns on the close reading and analysis of first hand accounts. Twelve female Iranian immigrants, from the second wave of Iranian immigrants were interviewed for this study. Ranging in ages from 25 to 71 and having arrived in Canada between 1979 and 2013 under differing circumstances and from different urban centers in Iran, these women provide important points of access to critical information about cultural transposition, identity performance and the mnemonic and semiotic functioning of possessions. And while definitions of what constitutes Iranian national identity in the context of the diaspora experience is complex and varies amongst generations (whether in Toronto or otherwise), it is clear that the distinct testimonies of these women share the common theme of emigrant experience, namely the desire to reconstruct lives in new places through the careful negotiation of carried knowledge of the old.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".