MétaCan
Menu
Back to cohort
Record W4417479067 · doi:10.1080/14927713.2025.2601520

From the spirit of national struggle to personal challenge: motivations and experiences of participants in Atatürk and İstiklal Trail

2025· article· en· W4417479067 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLeisure/Loisir · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPerspective (graphical)Qualitative researchEthnographyWork (physics)Agency (philosophy)

Abstract

fetched live from OpenAlex

This qualitative study examines how historical awareness influences motivations and experiences along the 95-km Atatürk and İstiklal Trail in Türkiye. Utilizing a constructivist–interpretivist framework, the research synthesizes data from three years of participant observation and semi-structured interviews (n=16). Analysis reveals that distinct themes, including historical empathy, the embodiment of the National Struggle, and communitas, drive participation. The findings demonstrate that the trail transcends recreational trekking, functioning instead as a site of embodied remembrance that reinforces collective memory and intergenerational historical consciousness. Theoretically, this research reframes long-distance walking as heritage-based tourism anchored in ritualized practice. Practical implications address campground logistics and route design to enhance participant immersion. Ultimately, this study offers transferable insights for policymakers and organizers aiming to sustain inclusive, heritage-rich outdoor events.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.068
GPT teacher head0.354
Teacher spread0.286 · 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