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Record W4285579723 · doi:10.29173/scancan181

Exploring Transcultural Community: Realistic Visions in Sami (Norwegian-Danish) and Ojibwe (Canadian) Novels

2020· article· en· W4285579723 on OpenAlexaboutno aff
Juliane Egerer

Bibliographic record

VenueScandinavian-Canadian Studies · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPostmodernismSociologyIdentity (music)Gender studiesPoliticsEthnic groupSubject (documents)AnthropologyAestheticsEpistemologyPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

ABSTRACT: This article compares the protagonists’ identity constitution in the novels Og sådan blev det (2013) [And so it turned out] by Maren Uthaug (2013) and Medicine Walk by Richard Wagamese (2014). Indigenous identity is historically and theoretically framed by political discourses and postcolonial theory. Indigenous concepts of land and story, concepts of cultural memory, western postmodern subject philosophy, and Indigenous research methods serve as a basis to explain the characters’ success in constituting their individual Indigenous identity within ethnically and culturally diverse communities while finding ways of mutual understanding, bridging the gap between Indigenous and non-Indigenous People. The novels suggest visionary but realistic ways of constituting Indigenous identity in transcultural communities and convey ethical values fundamental to all human beings—regardless of ethnicity and culture.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.350
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0530.051
Scholarly communication0.0170.004
Open science0.0030.009
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.457
GPT teacher head0.412
Teacher spread0.045 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

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