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Record W1506701160 · doi:10.37119/ojs2014.v19i3.135

Landscapes of Literacy: The Challenges of Reading Cree-English Dual Language Picture Books as a Decolonizing Strategy

2014· article· en· W1506701160 on OpenAlexaffvenue
Joanie Crandall

Bibliographic record

Venuein education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDialogicReading (process)LiteracyIdentity (music)SociologyDual languageEnglish languageLinguisticsPedagogyAestheticsArt

Abstract

fetched live from OpenAlex

The article theorizes the possibilities of a decolonizing methodology in a reading of David Bouchard’s Cree-English dual language picture books Nokum is My Teacher and <em >The Drum Calls Softly. Paulo Freire’s (1971) call to educators to become teacher-learners and Luis Urrieta Jr.’s (2007) concept of figured worlds as they relate to forms of identity work to inform the reading. The article suggests that not only can dual language picture books be read as social documents, but also that reading these texts as a decolonizing strategy provides opportunity for dialogic engagement across cultural boundaries.Keywords: Cree; education; decolonizing pedagogy; dual language texts; picture books; language revitalization

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0000.000

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 head0.014
GPT teacher head0.362
Teacher spread0.348 · 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 designQualitative
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
Published2014
Admission routes2
Has abstractyes

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