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Record W2982381054 · doi:10.1080/15595692.2019.1669015

Paddling as resistance? Exploring an Indigenous approach to land-based education amongst Manitoba youth

2019· article· en· W2982381054 on OpenAlexaffabout
Jay Johnson, Adam Ehsan Ali

Bibliographic record

VenueDiaspora Indigenous and Minority Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsQueen's UniversityUniversity of Manitoba
Fundersnot available
KeywordsIndigenousTransformative learningResistance (ecology)AdventureColonialismCeremonyIdentity (music)SociologyEthnographyDecolonizationGender studiesGeographyPolitical sciencePedagogyAnthropologyArchaeologyEcologyHistoryAestheticsArt

Abstract

fetched live from OpenAlex

A group involving Métis and Indigenous graduate students from the University of Manitoba and inner-city Indigenous youth developed and participated in an outdoor adventure-based canoe trip in Quetico Provincial Park. The five-day trip was steeped in Métis, Voyageur and Indigenous history and ceremony. This ensuing paper focuses on what is at stake when taking a decolonizing approach toward land-based education involving both Indigenous and non-Indigenous participants that aspires to (re)introduce Indigenous practices, environments and ceremonies. Inspired by recognizing the complexities involved in creating physical activity and sport programming for Indigenous youth under colonial structures within and outside of the academy, we seek to both illuminate and deconstruct the possibilities of measuring the transformative effects that such a trip has on all those involved, including the youth, mentors, and researchers. Drawing on the results of a qualitative study using both Indigenous and Western approaches, we present community-based research focusing on the impacts these experiences have on community building, identity, and decolonization.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.286
Teacher spread0.258 · 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 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

Citations14
Published2019
Admission routes2
Has abstractyes

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