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Record W3047136487 · doi:10.25071/1916-4467.40547

The Heartbeat of Na’a: Documenting One School’s Blackfoot Cultural Learning Journey

2020· article· en· W3047136487 on OpenAlexaffvenue
Stephanie Bartlett, Elder Saa'kokoto, Cindy H. White

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOperaEthnographySociologyIsolation (microbiology)PedagogyAction (physics)IndigenousSpace (punctuation)InsiderVisual artsMedia studiesPsychologyArtAnthropologyPolitical scienceLawLinguistics

Abstract

fetched live from OpenAlex

In June 2019, students at an elementary school presented a Blackfoot/English opera and also wrote, illustrated and published Blackfoot/English books to showcase their 18-month-long Blackfoot learning journey. This collaborative story cannot be told in isolation by the researcher/designer alone. Together with the Elder who guided the work and the school principal, we will share the heart of this journey and the impact that this has had on pedagogy, school culture and relationships. Findings from this ethnographic study (Lassiter, 2005; Rappaport, 2008) within an Indigenous research paradigm (Chilisa, 2012; Donald, 2016; Wilson, 2008) highlight how wisdom and stories that are part of the land and how intentional and nurtured relationships with an Elder, with each other and with the animals led to a deeper appreciation of local place. It also created a stronger sense of engagement and belonging within the school for teachers and students. Within the conventional, privileged space of an opera, we created an open, ethical space that invited all students to thrive and participate (Ermine, 2007). Findings point to increased engagement by marginalized students in the land-based experiences, in the preparations for the opera and the book writing, and also in the opera performance itself. With video clips of the opera and samples of the books to lift our stories, this presentation aims to inspire action in the collective work of education for reconciliation. We see this journey as a gift to share with the world so that educators and leaders can create their own meaningful action across different contexts.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.048
GPT teacher head0.331
Teacher spread0.283 · 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.

Study designNot applicable
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
Published2020
Admission routes2
Has abstractyes

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