“[They] would say she was betraying Poland already”: Major Themes in Contemporary Canadian Literature by Writers of Polish Origins
Bibliographic record
Abstract
In June 2015 The Canadian Polish Research Institute organized a panel discussion chaired by professor Tamara Trojanowska called “Writing Change and Continuity: Culture, Languages, Generations.” The debate featured esteemed writers of Polish descent: Eva Stachniak, Andrew Borkowski, Ania Szado, Jowita Bydlowska and Aga Maksimowska. Although the writers in question do not belong to the same generation and do not share exactly the same emigration experience, nowadays they form a distinguished group of Canadian writers of Polish origins. The aim of this paper is to look at the selection of the latest texts written by authors of the Polish diaspora in Canada such as Eva Stachniak’s The Chosen Maiden (2017), Jowita Bydlowska’s Drunk Mom (2013) and Guy (2016), Ania Szado’s Studio Saint Ex (2013) and Aga Maksimowska’s Giant (2012) among others. This paper does not venture to repeat the conclusions drawn during the panel but rather to extend the exploration of the recent Polish diasporic, multivoiced writing as well as offer a modest supplement to the famous analysis of ethnic writing proposed by Smaro Kamboureli in her Scandalous Bodies: Diasporic Literature in English Canada (2009). Hence, the discussion comprises the authors’ choice of themes, (dis)appearance of immigrant motifs, references to Poland as a country of origin and Canada as the new homeland as well as an analysis of the genres the aforementioned authors use.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.074 | 0.030 |
| Scholarly communication | 0.023 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| 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".