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Record W4383893330 · doi:10.36510/learnland.v16i1.1110

Resisting Concepts as Starting Points in a High School Leadership Pathway Alongside Indigenous Youth

2023· article· en· W4383893330 on OpenAlexaffvenue
Michael Dubnewick, Sean Lessard, Tristan Hopper, B.J. Lewis

Bibliographic record

VenueLEARNing Landscapes · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of AlbertaUniversity of Regina
Fundersnot available
KeywordsIndigenousNarrativeSociologyKinshipGender studiesPedagogyAnthropologyEcologyArtLiterature

Abstract

fetched live from OpenAlex

This writing draws on an ongoing narrative inquiry with 10 Indigenous youth as they negotiated their lives within a high school leadership pathway. Our research demonstrates the need to resist starting in concepts as an intentional shift to being and becoming wakeful to storied lives on and off school landscapes. Three resonant threads are highlighted as we listened across the youths’ lives. These threads are framed as pathways the youth asked us to consider in terms of reimagining schools as places of unfolding kinship, reimagining schools beyond notions of becoming responsible adults, and reimagining in-between spaces as landscapes that matter.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.034
Scholarly communication0.0120.007
Open science0.0020.013
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.303
Teacher spread0.259 · 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.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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