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Record W2340037460 · doi:10.1515/stap-2015-0025

The Concept of the Self in Come Walk with Me: A Memoir by Beatrice Mosionier

2015· article· en· W2340037460 on OpenAlexaboutno aff
Agnieszka Rzepa

Bibliographic record

VenueStudia Anglica Posnaniensia · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirNarrativePluralIdentity (music)Life writingSelfLiteratureHistorySociologyGenealogyAestheticsArt historyArtPhilosophyEpistemologyLinguistics

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.529
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.221
Teacher spread0.213 · 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
Published2015
Admission routes1
Has abstractyes

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