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Record W2239675569 · doi:10.37119/ojs2015.v21i2.276

Finding Courage in the Unknown: Transformative Inquiry as Indigenist Inquiry

2015· article· en· W2239675569 on OpenAlexaffvenue
Michele Tanaka

Bibliographic record

Venuein education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsTransformative learningCourageSociologyWonderActive listeningPedagogyIndigenousEnvironmental ethicsPsychologyPolitical scienceLawSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

Educators often wonder how to respond purposefully to vexing issues such as ecological sustainability, social justice and holistic health and wellness. The search for useful ways of proceeding can be addressed through engagement in the process of transformative inquiry, a mode of inquiry for educators that resonates with indigenous views and ways of being. At its heart, the approach seeks to support preservice teachers in their personal journeys towards decolonizing and indigenizing. Ultimately, these efforts ripple out to affect their future students and the institutions in which they learn, teach and, hopefully, inquire. Weaving poetry written from my own experience on becoming indigenist, with the work of scholars such as Manulani Meyer, Lorna Williams, Marie Battise, Shawn Wilson, and Gregory Cajete, I highlight salient aspects of transformative inquiry that can be particularly useful in changing the trajectory of both education and educational research: welcoming spirit, deep and generous listening, connecting to place, and finding courage in the unknown.Keywords: Transformative inquiry; indigenizing education; decolonizing research; teacher education; educational research

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.090
GPT teacher head0.402
Teacher spread0.312 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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