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Record W4389679974 · doi:10.1515/9780889775435

kisiskâciwan

2018· book· no· W4389679974 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Regina Press eBooks · 2018
Typebook
Languageno
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

A ground-breaking anthology from the territory now known as Saskatchewan, kisiskâciwan: Indigenous Voices from Where the River Flows Swiftly explores some of the richest and oldest stories from these lands, including voices from Cree, Saulteaux, Dakota, Lakota, Nakota, Dene, and Métis nations. Here, you will find speeches and letters by Treaty Chiefs, early writings from spiritual leaders, traditional stories from Elders, archival discoveries, and contemporary literary works in all genres. Historically and culturally comprehensive, the anthology includes Starblanket, Big Bear, Sitting Bull, Gabriel Dumont, Louis Riel, Thunderchild, Edward Ahenakew, Eleanor Brass, Alice Ahenakew, Howard Adams, Maria Campbell, Buffy Sainte-Marie, Beth Cuthand, Rita Bouvier, Sky Dancer Louise Bernice Halfe, Harold Johnson, Gregory Scofield, Warren Cariou, Randy Lundy, Andrea Menard, Lisa Bird-Wilson, Mika Lafond, Tenille Campbell, and many more.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.039
GPT teacher head0.245
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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