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Record W4405642332 · doi:10.1111/cag.12968

“It's not being ‘on‐the‐land,’ it's like we are a part of the Land”: Indigenous youth share visual stories at “on‐the‐land” camps in the Dehcho

2024· article· en· W4405642332 on OpenAlexafffundvenueabout
Steph Woodworth, Kristen Tanche, Britney Nadli, Sonia Wesche, Andrew Spring

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsWilfrid Laurier UniversityFirst Nations Health and Social Secretariat of ManitobaUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPhotovoiceIndigenousGeographySociologyEconomic growthEcology

Abstract

fetched live from OpenAlex

Abstract In northern Canada, Indigenous Peoples face rapid environmental and sociocultural changes that disrupt access to traditional places and practices. This disruption limits cross‐generational knowledge transfer and decreases opportunities for youth to connect with the Land. Land‐based education programs aim to provide Indigenous youth with spaces to learn about and connect with the Land, their language, and culture. However, there is limited research on what youth experience, enjoy, and learn during these programs. Our paper explores this through a study with Dene and Métis youth in the Dehcho region of the Northwest Territories. We investigate what youth experience and learn during “on‐the‐land” camps and how these camps provide spaces for youth to connect with the Land. Using a community‐based, Indigenous research methodology, we employed photovoice, allowing youth to share visual stories of their camp experiences and their (re)connection with the Land. Our results are categorized into three themes: (1) connections with the Land; (2) enjoyment of the camp environment; and (3) land‐based learning. We argue that land‐based education programs, such as on‐the‐land camps, are effective for fostering relationships between Indigenous youth and the Land. These camps teach youth various ways to connect with and protect the Land for future generations .

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0040.003
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.229
Teacher spread0.212 · 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

Citations3
Published2024
Admission routes4
Has abstractyes

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