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Record W2767901126 · doi:10.1177/1206331217740819

Tramping the Mobius: A Curriculum of Oral and Literary Tradition as a Primer for Rural Education

2017· article· en· W2767901126 on OpenAlexaff
Andrejs Kulnieks, Dan Roronhiakewen Longboat, Kelly Young

Bibliographic record

VenueSpace and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsTrent University
Fundersnot available
KeywordsPraxisIndigenousEcocriticismPoetryExperiential learningEnvironmental educationCurriculumSociologyHermeneuticsPlace-based educationObituaryEcologyEnvironmental ethicsAnthropologyAestheticsHistoryLiteratureEpistemologyPedagogyPhilosophyArchaeologyArtBiology

Abstract

fetched live from OpenAlex

In this article, we illustrate how outdoor activities that foster the development of human relationships with intact ecosystems are an essential aspect of environmental education. Through a curriculum of oral and literary traditions, this article takes up Ed Rickett’s and Aldo Leopold’s life work and theories (shared by Joseph Campbell and John Steinbeck) as they recount the genesis of Pacific Tidal Pool ecology, also applied to poetry, taxonomy, and philosophies that involved studying nature. Ongoing experiential decline has significantly altered environmental praxis leaving older environmentalists as among the last of significantly spatially shaped generations. We investigate how these naturalists mediate Indigenous perspectives and settler perspectives by paying close attention to the natural world. This relationship demands a journey into those places to uncover how place and story shape eco-hermeneutics.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.010
Scholarly communication0.0050.004
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.326
Teacher spread0.313 · 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
Published2017
Admission routes1
Has abstractyes

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