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Record W4416587471 · doi:10.1080/17511321.2025.2592220

First steps in walking, the potential beginnings of resonance? The inaugural experience of mountain walking among vocational high school students

2025· article· en· W4416587471 on OpenAlexaff
Paintendre Aline, Matthieu Quidu, Brice Favier-Ambrosini

Bibliographic record

VenueSport Ethics and Philosophy · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversité du Québec à Chicoutimi
FundersAgence Nationale de la Recherche
KeywordsVocational educationWork (physics)Higher educationField (mathematics)

Abstract

fetched live from OpenAlex

Inspired by Merleau-Ponty's phenomenology of perception, the sociology of relations to the world, developed by Harmut Rosa (2018), explores how a connection is established with the world, with oneself, and with others. After analyzing several canonical works on walking, written by naturalists, anthropologists and philosophers, providing detailed accounts of walks, this study explores how walking in nature can represent a potential opportunity for resonance for high school students who are unfamiliar with this environment. More specifically, it seeks to identify the potential beginnings of a resonance string, the promises and early signs of vibration, likely to lead, if repeated and consolidated, to the internalisation of a singular area of resonance regarding the relationship to the body and the environment. Three main results emerge based on three types of relationships: 1. a relationship of alienation develops among high school students during this first walking experience (between repulsion and indifference towards the environment); 2. a relationship based on resistance (as a ridgeline between alienation and resonance) emerges depending on the hostility of the terrain, the nature of the effort, and the sense of self-efficacy of the practitioners; 3. a vibrant chord of resonance is revealed in some high school students during the walk as they are affected by the silence, the landscape, and the connection to others.

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 score0.257
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.432
Teacher spread0.382 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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