MétaCan
Menu
Back to cohort
Record W3197185684 · doi:10.3389/feduc.2021.689445

The Child Is Capable: Anishinaabe Pedagogy of Land and Community

2021· article· en· W3197185684 on OpenAlexaffabout
Sharla Peltier

Bibliographic record

VenueFrontiers in Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousStorytellingContext (archaeology)PedagogySociologyAutoethnographyTraditional knowledgeSpace (punctuation)PraxisCurriculumNarrativePolitical scienceGender studiesGeographyLawArtLinguisticsLiterature

Abstract

fetched live from OpenAlex

Situated within a post-Truth and Reconciliation Commission Canadian context, educators are seeking Wisdom to create space in schools for Indigenous Knowledges, perspectives, languages, and histories. An Anishinaabe scholar invites readers to make meaningful connections to knowledge from experience that centers the child within the context of an Anishinaabe summer harvest camp, a competition powwow, and a smokehouse. The storyteller takes an inward turn, exploring features of the communal learning process conducive to the learning spirit, self-evaluation, and participation in learning and teaching that matches one’s readiness and skill. The story is powerful for connecting the heart and mind, stimulating receptivity to assessment-making opportunities for teachers that are relevant to Indigenous student community teaching-learning traditions. True to the storytelling method, the stories here are meant to stimulate remembering, reflection, and a process of deep knowing. The author invites educators to think with the stories for inspiration toward personal possibilities of praxis. Positive educational transformation is set into motion as teachers connect with Indigenous peoples to honor the diversity of children, co-create a relational curriculum inclusive of family and community to embrace Indigenous Knowledge that comes from the Land, and create space to generate and transmit new knowledge through story.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.338
Teacher spread0.321 · 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 designObservational
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

Citations6
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueFrontiers in EducationSame topicMedia, Communication, and EducationFrench-language works237,207