Diaspora, ojczyzny i pamięć w życiu ukraińskich migrantów z Polski w Toronto
Bibliographic record
Abstract
The basis for this article is ethnographic field research carried out in Canada in 2014-2016 among Ukrainians who emigrated from Poland in 1980s and met vibrant Ukrainian diaspora built by earlier generations of Ukrainian migrants. The author analyses the encounter of official, diasporic discourses of the Ukrainian past with the local history of Ukrainians from Poland, especially displacement of 1947, spaces of self-presentation, role and significance of images of Poland and Ukraine in their lives, their involvement in wider Ukrainian context in Canada, contacts with the local Polish diaspora, problems with explicit identity assignment and a specific group distinctiveness that is a challenge for the essentialistically understood diaspora. In return, she proposes to consider the part of the Ukrainian diaspora as a transnational imaginary community (the concept of M. Skefeld), and to follow the attitudes, practices and ideas of both the diaspora and the native country.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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; both teacher heads agree on what is shown here.
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".