MétaCan
Menu
Back to cohort
Record W2973011222 · doi:10.1386/btwo_00015_1

Cree language use in contemporary children’s literature

2019· article· en· W2973011222 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBook 2 0 · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousIndigenous languageStyle (visual arts)LinguisticsHistoryColonialismVisual artsArt

Abstract

fetched live from OpenAlex

An increasing number of children’s books are being written, illustrated and published in Indigenous languages, responding to the urgent need for children to be exposed to their ancestral languages to further the goals of language revitalization across all ages and restore intergenerational language transmission. Such publications range in style from instructional language-learning books that feature a picture alongside associated text – helping children to learn words in a manner similar to using flashcards – to fully developed storybooks written entirely in an Indigenous language or in a bilingual format, with an Indigenous language and an official, national or colonial language sharing the same page. This article focuses on three recent books that have adopted the final approach outlined above – using English as the primary medium with Cree woven into the text throughout the book: Nimoshom and His Bus (Thomas 2017); Stolen Words (Florence 2017); and Awâsis and the World-Famous Bannock (Hunt 2019).

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.213
Teacher spread0.190 · 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