MétaCan
Menu
Back to cohort
Record W2003330906 · doi:10.1177/1468794113495037

The commonplace journey methodology: exploring outdoor recreation activities through theoretically-informed reflective practice

2013· article· en· W2003330906 on OpenAlexaff
Philip M. Mullins

Bibliographic record

VenueQualitative Research · 2013
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsRecreationExistentialismSociologyPhenomenology (philosophy)Interpretation (philosophy)Qualitative researchEpistemologyContext (archaeology)Lived experienceField (mathematics)Engineering ethicsPsychologySocial scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper describes the foundations, introduces a conceptual model, and discusses uses of the commonplace journey methodology, an innovative and mobile qualitative research and pedagogical approach based on existential hermeneutic phenomenology. Using this mobile methodology, the researcher placed a theoretical approach to human–environment relations from outside the scholarly field of outdoor recreation and education in dialogue with travellers’ lived experience, activities, and understandings during an extended canoe expedition. Examples from the data and findings are used to further describe the processes, benefits, and challenges of this phenomenological methodology. Finally, the author describes four analytical techniques used to anchor interpretation and written theoretical accounts in lived practice and physical context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0060.019
Scholarly communication0.0100.012
Open science0.0030.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.704
GPT teacher head0.682
Teacher spread0.022 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations11
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueQualitative ResearchSame topicOutdoor and Experiential EducationFrench-language works237,207