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Record W4389693464 · doi:10.1515/9780889777538

Mācī-Anihšināpēmowin

2020· book· lv· W4389693464 on OpenAlexaboutno aff
Lynn Cote, Margaret Cote

Bibliographic record

VenueUniversity of Regina Press eBooks · 2020
Typebook
Languagelv
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Mācī-Anihšināpēmowin / Beginning Saulteaux is an introductory look at one of the most widely spoken of all North American Indigenous languages, regionally known as Saulteaux, Ojibway, Ottawa (Odawa), Chippewa, and Algonquian./ In an easy-to-use and easy-to-read series of lessons, both designed for self-study or for use in the classroom, Beginning Saulteaux will guide beginners through the language’s grammatical structures and spelling systems, as well as everyday terms and phrases. / The book grounds the language in both traditional and contemporary contexts, and sheds light on the Saulteaux world view. For example, there is no word for good-bye in the language, so upon parting people will usually say Kika-wāpamin mīnawā, meaning “I’ll see you again.” / The third in our Indigenous Languages for Beginners series, Beginning Saulteaux is an invaluable resource produced in consultation with Elders, Language Keepers, and community members, and continues our commitment to revitalizing Indigenous languages.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.078
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0780.014

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 head0.045
GPT teacher head0.186
Teacher spread0.141 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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