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Record W4381326732 · doi:10.1080/14927713.2023.2224370

“Without [surfing], it’s kind of like Groundhog Day, but the … Twilight Zone version”: a phenomenological study of surfers’ experiences of the COVID-19 pandemic

2023· article· en· W4381326732 on OpenAlexvenueno aff
Lindsay E. Usher

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)PsychologyJournaling file systemSociologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic altered life and leisure activities for much of the world. Lockdowns were meant to keep people safe but prevented them from doing leisure activities important for wellbeing. Surfing was banned in many coastal communities. Surfers rely on surfing for their physical, mental, and social wellbeing. The purpose of this longitudinal phenomenological study was to explore surfers’ experiences of the pandemic using virtual interviews and photo journaling over seven months. The international sample included 29 surfers. The results demonstrated that participants had different experiences depending on their location. While some could not surf for a while, others could surf but still had to change their surfing process. As restrictions relaxed, surfing became a safe activity to keep participants sane, physically healthy, and socially connected. Surfing and the ocean were even used to protest injustice. The findings reveal the importance of expanding access to surfing and the coast.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.351
Teacher spread0.255 · 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 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

Citations6
Published2023
Admission routes1
Has abstractyes

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