The Concept of the Self in Come Walk with Me: A Memoir by Beatrice Mosionier
Bibliographic record
Abstract
Abstract Beatrice (Culleton) Mosionier is a Canadian Métis writer, whose first strongly autobiographical novel In Search of April Raintree (1983) has been recognized as a classic of contemporary Native Canadian literatures. Her memoir, Come Walk with Me (2009), describes her life story from 1949 till 1987, covering also the period between 1987 and 2001 in a brief epilogue. In the memoir, Mosionier uses fragments of the transcript of an interview conducted with her mother in 1984 by Alanis Obomsawin to preface the three parts of her book. Apart from constructing the two lives as parallel and in dialogue with one another, Mosionier frames and dialogises her story also through references to the process of writing, publication and the success of her novel; and reaches out to readers to induce them to “walk” with her. The aim of the present article is to examine the narrative presentation of the process of self-discovery focusing in particular on the relational aspects of the life story. Mosionier’s memoir demonstrates her growing into the realisation of the fact that her identity is relational-she recognizes herself as part of a larger ethnic and social group, and later also as shaped by familial relations. While depicting “the self [that] is dynamic, changing, and plural” (Eakin 1999: 98), she conceptualises it in reference to what she believes to be an essentially static core identity, and as “channelled” through a life that largely follows a predetermined pattern.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.030 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".