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Record W1883040965 · doi:10.37119/ojs2012.v18i2.62

From Classroom to Community: An Inquiry of Community-Based Action Research (Through Indigenous Storywork Principles)

2013· article· en· W1883040965 on OpenAlexaffvenue
Paul Kolenick

Bibliographic record

Venuein education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsIndigenousAction researchPerspective (graphical)Action (physics)SociologyPedagogyValue (mathematics)Community educationClosing (real estate)Political science

Abstract

fetched live from OpenAlex

Two action research projects of the Community-Based Master of Education program at the University of Regina are featured with particular attention given to a developmental progression that takes place through a series of action research cycles, involving a significant shift from a classroom-based to a community-based teaching practice. In taking an Indigenous perspective on community-based education, this study draws upon Jo-Ann Archibald’s (Q’um Q’um Xiiem) (2008) Indigenous Storywork: Educating the Heart, Mind, Body, and Spirit. As an Indigenous approach to life and learning, Archibald’s work offers an insightful perspective on community-based education that is of value to educators with an interest in community development and its potential for schools. In closing, the prospect of educational action research as part of a community-based teaching practice is considered.Keywords: community-based education program; Indigenous storywork; action 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.062
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0170.080
Scholarly communication0.0190.018
Open science0.0050.017
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0020.000

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 head0.298
GPT teacher head0.477
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
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

Citations1
Published2013
Admission routes2
Has abstractyes

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