Activating and Actualizing the Third Space in Syrian Diasporic Realities: An Autoethnographic Interpretation
Bibliographic record
Abstract
This essay, part of a larger study, speaks to the Syrian Diaspora’s lived reality in Canada, a complex topic that delves into issues of dislocation, displacement, loss, exile, identity, resilience and a desire for belonging (Alatrash, 2019; 2020). The study seeks to better understand these issues and the lived experience and human condition of the Syrian Diaspora in Canada. I engage autoethnography as a research methodology and as a method as I think and write from my own personal experience as a Syrian immigrant so that I could better understand the Syrian refugee’s lived experience (Alatrash, 2019). My research participants were three Syrian refugee families in Calgary, in addition to myself as an autoethnographer. As I autoethnographically analyzed, presented, and interpreted the stories of the three families, I identified a number of themes (Alatrash, 2019; 2020); this essay addresses one of these themes: On creating new possibilities: Activating and actualizing the Third Space (Alatrash, 2019).
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.054 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".