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Record W4361267569 · doi:10.31273/eirj.v10i2.969

Teaching to Care for Land as Home

2023· article· en· W4361267569 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExchanges The Interdisciplinary Research Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsMcGill University
Fundersnot available
KeywordsEnvironmentalismAnthropoceneEcofeminismEnvironmental ethicsEnvironmental educationSociologyEnvironmental justiceFeminismWildlifeOutdoor educationForegroundingGender studiesEcologyPolitical sciencePoliticsLawPedagogyArt

Abstract

fetched live from OpenAlex

Can a feminist, justice-oriented approach to environmental care function through the concept of the Anthropocene? This article argues that by foregrounding girlhood and young women's experiences, an ecofeminist approach to environmental education benefits the outdoor education field and environmentalist action alike. The argument is based on ethnographic research from 2018 at Cottonwood Gulch—an outdoor education program based in New Mexico, USA. It focuses on an all-girls group and the relationships they created with wildlife and wild spaces throughout their time in the outdoors immersion program. The article explores how an ecofeminist approach to the girls' education strengthened their responsible relationships with environments. Cottonwood Gulch created a sense of home in the landscapes it explored, and it encouraged intimacy between participants and between participants and wildlife. Through this approach the girls came to know "land as home" and to understand caretaking as central to ecological responsibility and environmentalism. The article explores the entanglement of environmentalism and feminism discussed through ecofeminist approaches and problematizes the Anthropocene through this lens. It asks us to look beyond the concept of the Anthropocene and instead take up understanding of the Capitalocene, allowing ecofeminist thought and work to inspire a justice-oriented approach to environmentalism and environmental education.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.112
GPT teacher head0.532
Teacher spread0.420 · 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