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Record W4411335695 · doi:10.5749/9781452974682

The People and the Word: Reading Native Nonfiction

2005· book· en· W4411335695 on OpenAlexfundno aff
Robert Warrior

Bibliographic record

VenueUniversity of Minnesota Press eBooks · 2005
Typebook
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
FundersUniversité de LimogesUniversity of TorontoUniversity of OregonYale UniversityMcMaster UniversityArizona State UniversityUniversity of MinnesotaUniversity of California, DavisUniversity of MissouriPepperdine UniversityUniversity of LethbridgeUniversity of MiamiDartmouth CollegeUniversity of Oklahoma
KeywordsReading (process)LinguisticsWord (group theory)PsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Focusing on autobiographical writings and critical essays, as well as communally authored and political documents, The People and the Word explores how the Native tradition of nonfiction has both encompassed and dissected Native experiences. Warrior begins by tracing a history of American Indian writing from the eighteenth century to the late twentieth century, then considers four particular moments: Pequot intellectual William Apess's autobiographical writings from the 1820s and 1830s; the Osage Constitution of 1881; narratives from American Indian student experiences, including accounts of boarding school in the late 1880s; and modern Kiowa writer N. Scott Momaday's essay "The Man Made of Words," penned during the politically charged 1970s. Warrior's discussion of Apess's work looks unflinchingly at his unconventional life and death; he recognizes resistance to assimilation in the products of the student print shop at the Santee Normal Training School; and in the Osage Constitution, as well as in Momaday's writing, Warrior sees reflections of their turbulent times as well as guidance for our own.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.017
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.173
Teacher spread0.158 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations46
Published2005
Admission routes1
Has abstractyes

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