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Record W1608917957

Writing Voices Speaking: The Aesthetic of Talk in Thomas King’s Medicine River

2006· article· en· W1608917957 on OpenAlexaffvenue
Jack Robinson

Bibliographic record

VenueStudies in Canadian Literature · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSubtextDeconstruction (building)NarrativeEmbodied cognitionStorytellingAestheticsArtFluteLiteratureVisual artsArt historyPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

One of the key themes in Thomas King's Medicine River is the deconstruction of a dichotomy between the dominant aesthetic modes of non-Native versus Aboriginal cultures. The non-Native narrative aesthetic is represented by photography and embodied in the novel’s protagonist, Will Horse Capture. The contrasting Aboriginal narrative aesthetic of talk is embodied in the figure of Harlen Bigbear. King emulates the speech rhythms of Aboriginal talk and oral storytelling to both illustrate and call into question these aesthetic modes. The deconstruction of paradigms is an ever-present subtext of Medicine Hat and other works by King, and, today is central to contemporary Aboriginal studies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

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