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Record W4288450336 · doi:10.1080/1088937x.2022.2105971

Toward <i>Inummarik</i> (well-balanced humans): an investigation of the role of land-based learning programs in public education

2022· article· en· W4288450336 on OpenAlexaffabout
Kathy Snow, Diane Obed

Bibliographic record

VenuePolar Geography · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsMount Saint Vincent UniversityUniversity of Prince Edward Island
FundersMinistero dello Sviluppo Economico
KeywordsAutonomyIndigenousSovereigntyArgument (complex analysis)Place-based educationPsychological resilienceSociologyEnvironmental educationIndigenous educationState (computer science)Political sciencePublic relationsPedagogyEconomic growthPsychologyEcologySocial psychologyLawEconomics

Abstract

fetched live from OpenAlex

As a reaction to imposed education systems, traditional land-based education can be viewed as a source of resistance against a capitalist settler state, and most importantly, for the maintenance of Indigenous autonomy and sovereignty. However, formal k-12 learning environments are dominated by values systems and orientations to environmental education that potentially undermine Indigenous land-based education values and approaches. Within Canada, though there is a growing body of literature outlining the advantages of land-based learning for academic success and student well-being in public schools, funding models and policy restrictions have been slower to change and can impede implementation. With this article we hope to add to the growing body of evidence, supporting land-based learning as a legitimate pedagogy in public education. We approach this through a cross-case analysis of the results of two separate research projects and identifying the parallel themes, which emerged: youth resilience, Inuit autonomy, and authenticity in learning. Although our results focus on the development of individuals, within our conclusion we extend the argument toward systemic changes needed in Canadian public education not only as an act of decolonization but in supporting the development of Innumarik.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.956

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 studies0.0010.000
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 head0.019
GPT teacher head0.248
Teacher spread0.228 · 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 designObservational
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

Citations9
Published2022
Admission routes2
Has abstractyes

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