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Record W2970784438 · doi:10.3390/rel10090505

Tracing the Landscape: Re-Enchantment, Play, and Spirituality in Parkour

2019· article· en· W2970784438 on OpenAlexaff
Brett David Potter

Bibliographic record

VenueReligions · 2019
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsSheridan College
Fundersnot available
KeywordsSpiritualityConsciousnessAestheticsSociologyEcologyEnvironmental ethicsArtEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Parkour, along with “free-running”, is a relatively new but increasingly ubiquitous sport with possibilities for new configurations of ecology and spirituality in global urban contexts. Parkour differs significantly from traditional sports in its use of existing urban topography including walls, fences, and rooftops as an obstacle course/playground to be creatively navigated. Both parkour and “free-running”, in their haptic, intuitive exploration of the environment retrieve an enchanted notion of place with analogues in the religious language of pilgrimage. The parkour practitioner or traceur/traceuse exemplifies what Michael Atkinson terms “human reclamation”—a reclaiming of the body in space, and of the urban environment itself—which can be seen as a form of playful, creative spirituality based on “aligning the mind, body, and spirit within the environmental spaces at hand”. This study will subsequently examine parkour at the intersection of spirituality, phenomenology, and ecology in three ways: (1) As a returning of sport to a more “enchanted” ecological consciousness through poeisis and touch; (2) a recovery of the lost “play-element” in sport (Huizinga); and (3) a recovery of the human body attuned to our evolutionary past.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.449

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)0.0000.000

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 head0.025
GPT teacher head0.312
Teacher spread0.288 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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