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Record W7019897952

Investigating the human-nature relationships of wilderness leaders

2012· dissertation· en· W7019897952 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2012
Typedissertation
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessOutdoor educationWilderness areaQualitative researchTheme (computing)Natural (archaeology)Narrative
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study explored how wilderness leaders view wilderness and understand their relationship with wilderness. The term wilderness leader denotes outdoor educators and guides who lead trips in backcountry wilderness areas. Guided by a narrative design, in-depth interviews were conducted with five Canadian individuals who have been leading multi-day wilderness trips for five years or more. During the interviews, leaders were asked to describe their experiences in wilderness, their relationships with nature, and explore their role as wilderness leaders.
\nFive main themes emerged through the interview process. These themes included the leaders' defintions of wilderness, stories of time spent in wilderness and why they were drawn to wilderness in the first place, how they understood their relationships with nature, their notions of wilderness ethic, and how they see their roles as wilderness leaders. The underlying connecting theme of this research was that all the leaders felt strongly about their relationship with nature. Rooted in respect for nature, and a perspective of being a part of nature, they wanted to ensure that they travelled in wilderness in a way that was indicative of that respect.
\nThis study supports environmental education research that calls for strong emotional connections to the natural world. This study also corroborates the critique that many outdoor education and wilderness programs lead participants to view wilderness and civilization as two separate entities. This study therefore advocates the need for wilderness leaders to continue to think critically about wilderness and be given opportunities to reflect and be challenged on their ideas of wilderness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.345
Teacher spread0.268 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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