MétaCan
Menu
Back to cohort
Record W4389994586 · doi:10.1080/14729679.2023.2295842

Understanding older adults’ participation in outdoor adventure activities: a scoping review

2023· review· en· W4389994586 on OpenAlex
Emily Smith, Nicole Dalmer

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Adventure Education & Outdoor Learning · 2023
Typereview
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAdventureOutdoor educationAdventure educationPsychologyRecreationOutdoor activityGerontologyFocus groupMedical educationApplied psychologyMedicineSociologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

Outdoor adventure activities are increasingly popular among older adults. We conducted a scoping review to examine trends in the scholarly literature on this topic. Several interdisciplinary databases were searched, and studies were independently screened for eligibility during two rounds of review (title and abstract, and full text). Our review included 34 peer-reviewed articles with the full text available in English that substantially described outdoor adventure programming for older adults, and/or older adults’ experiences of, or attitudes towards outdoor adventure activities. Results of this scoping review suggest that participation in outdoor adventure activities can contribute significantly to the wellbeing of older adults. However, due to strict alignment to the ideals of successful aging present in many articles, the potential for an ‘authentic aging’ lens to explore the diverse experiences of aging is discussed. Further research should focus on recruiting more diverse participants and attempt to uncover potential barriers and facilitators (physical, economic, geographic, etc.) to participation.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.472
Teacher spread0.348 · 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