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Record W2901509597 · doi:10.7311/0860-5734.27.1.11

“[They] would say she was betraying Poland already”: Major Themes in Contemporary Canadian Literature by Writers of Polish Origins

2018· article· en· W2901509597 on OpenAlexaboutno aff
Dagmara Drewniak

Bibliographic record

VenueAnglica An International Journal of English Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHomelandEmigrationDiasporaImmigrationEthnic groupStudioHistoryMedia studiesClassicsSociologyPolitical scienceArtGender studiesLawPoliticsVisual arts

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.318
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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