Domestic Ethnicity: The Lebanese and Ukrainian Diasporas in the Host-Region of Newfoundland
Bibliographic record
Abstract
Abstract This paper explores the experiences of Lebanese and Ukrainian diasporans on the Canadian island of Newfoundland by using the concepts of host-region and reflective domestic ethnicity.1 It is based on fieldwork among the descendants of Lebanese immigrants who settled at the turn of the twentieth century (Hirschfeld Shibley) and recent immigrants from Ukraine (Lesiv). Many studies of diasporas explore the notion of ethnicity. These explorations often take place in large and representative diasporic settings that, in turn, offer platforms for diverse public expressions of ethnic identities reinforced by vibrant diasporic institutions. Newfoundland is a comparatively small territory and has historically been an unpopular destination for immigrants. Furthermore, in Canada, the island is known for its distinct regional sense of identity. The generalised framework of ‘hostland’ frequently used to embrace entire countries or continents is unsuitable for the present study. Via a narrower regional prism, our findings show that, albeit for dissimilar reasons, Lebanese and Ukrainian diasporans engage with their ethnic heritages predominantly in domestic spheres. We explore domestic ethnicity formation processes focusing on select creative expressions, including material objects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".