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Record W4389508023 · doi:10.4000/ejas.20914

From Nostalgia to locus amoenus: Polish Migrants’ Memoirs in Canada and the Idea of Home, Identity, and Belonging

2023· article· en· W4389508023 on OpenAlexaboutno aff
Dagmara Drewniak

Bibliographic record

VenueEuropean Journal of American Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirImmigrationIdentity (music)Context (archaeology)Life writingSociologyHistoryGender studiesEthnologyGenealogyArt historyAestheticsArtArchaeologyBiography

Abstract

fetched live from OpenAlex

The aim of this article is to analyze the latest volume of migrant memoirs from Poland to Canada Zwyczajna przeprowadzka / An Ordinary Move: Memoirs of Polish Immigrants in Canada 1988-2012 (2014) in order to track the changes in attitudes to the migrants’ perception of Poland and Canada in the context of finding/losing home, (un)belonging and Polish-Canadian identity. This edited collection and its examination will be situated within the history of Polish life writing in Canada as well. The texts gathered in the volume are written in prose and verse and prove the migrants’ variegated perspectives ranging from nostalgic and painful tones discussed in light of Svetlana Boym’s The Future of Nostalgia to affirmative ones that can be described through the concept of finding a friendly space or the so called locus amoenus (Shallcross). This contribution also addresses the question of the usage of Polish and English as languages of expression as the recent publication is the first bilingual edition in the series. All in all, the memoirs show not only the constant need to write one’s experience of migration and narrate the immigrants’ attitude to their Polish identity but also testify to the possibility of migrants’ “transnational status” (Kozaczka 152).

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0330.022
Scholarly communication0.0110.003
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of American StudiesSame topicCanadian Identity and HistoryFrench-language works237,207