Self-inscriptions : ethnic, indigenous, linguistic and female identity constructions in Canadian minority life writing. A comparison of Apolonja Kojder's "Marynia, Don't Cry" and Rita Joe's "Song of Rita Joe"
Bibliographic record
Abstract
Despite Canada’s official policy of multiculturalism, until recently, the perspectives of the country’s lesser-known, marginalized writers have not been usually taken into consideration in mainstream discussions on the nature of Canadian identity and its socio cultural mosaic. Specifically, minority life writing narratives had generally received little critical attention in Canada. This paper aims to fill this slowly-decreasing gap through the exploration of two texts whose female writers negotiate their distinct ethnic and national selves within the cultural dominant of Canada. The essay compares Apolonja Kojder’s Polish-Canadian memoir, Marynia, Don’t Cry, to Rita Joe’s Mi’kmaq-Canadian autobiography, Song of Rita Joe. The analysis of these texts sets the Polish and Aboriginal communities into conversation, and yields a discussion on the nature of cultural, national, linguistic and female identity. It argues that identity is political, relational and always in process. Since much of the personal narrative writers’ identity struggle in an alien land and language often unravels as a translation of the self into another world, the two personal narratives add nuance to our understanding of the contradictions found in institutional policies. The study creates awareness of the literary and discursive strategies by which writers of disadvantaged communities challenge and subvert cultural oppression, identity misconstructions, and the exclusion of ethnic and women’s histories from within mainstream society. However, through the textual hybridization of cultures, languages, histories and life experiences, Kojder’s and Joe’s intention is to facilitate understanding across groups, create respect for diversity, propel social participation and induce socio political transformation. This paper means to shed light on the Canadian experience in its unique variations, and to add to life writing studies on ethnic and national individuals’ personal encounters with and within the Canadian socio- cultural and political milieu.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.042 | 0.028 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".