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Record W3171776999 · doi:10.15402/esj.v7i1.69957

Uncovering the Experiences of Engaging Indigenous Knowledges in Colonial Structures of Schooling and Research

2021· article· en· W3171776999 on OpenAlexaffvenue
Mairi McDermott, Jennifer MacDonald, Jennifer Markides, Mike Holden

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousHonourColonialismNegotiationSociologyTraditional knowledgePoliticsDecolonizationPedagogyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

In response to the Truth and Reconciliation Calls to Action (TRC, 2015), a school board teamed with university educators and educational partners to generate a professional learning series to support educators’ engagement with Indigenous knowledges. A research team that assembled two years later interviewed the learning series participants to explore how educators were navigating Indigenous knowledge within a Eurocentric school system. This research acknowledges the challenges of doing this work within shifting institutional policies and initiatives, the wider politics of Indigenous and non-Indigenous relations, building intercultural understandings and community partnerships, and negotiating epistemological difference. The researchers — including Indigenous and non-Indigenous peoples — echoed resonances with the participants that occurred throughout the data collection process and often spoke about the parallel paths of research and schooling — both historically used as tools of colonization and now having a role in decolonization. To disrupt colonial propensities, we share our reflections as researchers, specifically around complexities and tensions of engaging Indigenous knowledges throughout our research processes concerning the participants’ experiences. By sharing the tensions and (un)learning that emerged on these parallel paths, we honour diverse entry-points and experiences to animate how trans-systemic knowledge building might ensue.

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)0.788
metaresearch head score (Gemma)0.228
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7880.228
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.5860.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.417
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 head0.100
GPT teacher head0.430
Teacher spread0.330 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueEngaged Scholar Journal Community-Engaged Research Teaching and LearningSame topicIndigenous Health, Education, and RightsFrench-language works237,207