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Record W2995414591 · doi:10.5817/cejcs2018-12-13-10

Multicultural identity negotiation in recent Canadian mixed-blood narratives : Boyden's Three Day Road

2018· article· en· W2995414591 on OpenAlexaboutno aff
Judit Ágnes Kádár

Bibliographic record

VenueThe Central European journal of Canadian studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismNarrativeIdentity (music)NegotiationSociologyGender studiesPolitical scienceArtAestheticsPedagogySocial science

Abstract

fetched live from OpenAlex

Using the example of Joseph Boyden's Three Day Road (2005), this paper addresses the "broken taboos and uncomfortable truths" of mixed blood identity in Contemporary Métis writing. I explore identity negotiation and the radical textual undoing of ethnic identity concepts (including stereotypes) reflected in Métis Canadian and US Southwestern Nuevomexicano/a writing and visual arts. Here I present how interracial understanding is challenged by mixed heritage authors and what Boyden's protagonists' identity negotiations in the shifting sites of identity formulation ("journey") are like. I study the fluctuation between more social identities, ethnic choice and specifically the possibilities for escaping prescribed identity formulations and reconnecting with tribal heritage that manifests the clashing western and Indigenous cosmologies and tackles the problems of ethnic pride, shame and stigma.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
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 head0.035
GPT teacher head0.260
Teacher spread0.225 · 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.

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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

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