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Record W4390105357 · doi:10.1080/13573322.2023.2295874

Examining the risk-safety paradox in outdoor education from a Taoist perspective: a case study of a Chinese outdoor education experience

2023· article· en· W4390105357 on OpenAlexfundno aff
Yujun Xu, Junwei Qian

Bibliographic record

VenueSport Education and Society · 2023
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsnot available
FundersFederation for the Humanities and Social Sciences
KeywordsChinaAdventurePerspective (graphical)Outdoor educationAdventure educationSociologyContext (archaeology)Chinese philosophyCultural safetyPedagogyPolitical scienceGeographyHistoryVisual artsArtLaw

Abstract

fetched live from OpenAlex

There is a paradox between the demands for safety and the productive value of risk in outdoor education and adventure learning. This seems particularly to be the case in Chinese culture, policy, and empirical practice of outdoor education. This paper aims to utilise the rich cultural context and philosophical perspectives of China to broaden the landscape of outdoor education knowledge. Chinese cultural intricacies and insights from Taoist philosophy offer an unconventional perspective for redefining traditional binary concepts of risk and safety, relevant to outdoor education as it is practised in China. A Taoist lens is used to analyse Chinese college students’ documented reflections on their experience of outdoor education through a case study. The convergence of Taoist philosophy and culturally embedded pedagogical practices in China presents an innovative pathway for re-imagining the existing terrain of Western adventure learning research and teaching norms in outdoor 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.373
Teacher spread0.347 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2023
Admission routes1
Has abstractyes

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