Bibliographic record
Abstract
Modern day Canada is perceived as a country that is open to immigrants, or even actually in need of migrants who would be willing to settle there. However, in the twentieth century, some immigrants of creative profession (artists, painters, writers, poets, journalists) who wanted to continue their professional activity in Canada faced different problems: both in adaptation with the host society and one’s own ethnic group. In this paper I would like to focus on the examples of some Polish emigrants (e.g.: Michal Choromański, Rafał Malczewski, Zofia Bogdanowiczowa, Jadwiga Jurkszus- Tomaszewska, Adam Tomaszewski, Wacław Iwaniuk, Florian Śmieja, Bogdan Czaykowski, Roman Sabo, Edward Zyman, Marek Kusiba) to present the peculiarity of the life of emigrant creators – the issues and obstacles they encounter both in Canadian society and in the Polish diaspora, as well as different individual strategies of avoiding or overcoming these problems.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.042 | 0.010 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".