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Record W2161343049 · doi:10.1177/1053825913498367

Conceptualizing Skill Within a Participatory Ecological Approach to Outdoor Adventure

2013· article· en· W2161343049 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

VenueJournal of Experiential Education · 2013
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsOutdoor educationAdventure educationAdventureRecreationSustainabilitySociologyEnvironmental educationWildernessCitizen journalismExperiential learningEcologyPsychologyPedagogyComputer science

Abstract

fetched live from OpenAlex

To answer calls for an ecological approach to outdoor adventure that can respond to the crisis of sustainability, this paper suggests greater theoretical and empirical attention to skill and skill development as shaping participant interactions with and experiences of environments, landscapes, places, and inhabitants. The paper reviews calls for ecological approaches as well as phenomenological analyses of outdoor adventure. The paper then outlines a heuristic perspective that positions humanity as belonging within environments and highlights the performative and movement orientation of outdoor adventure. Ingold’s work is outlined as an informative ecological ontology and, integrating it with the literature reviewed, alternative conceptualizations of skill, activity, and outdoor adventure are provided. These understandings enable a first step in formulating and researching a participatory ecological approach to outdoor adventure education, recreation, and tourism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.373
Teacher spread0.334 · 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