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Record W7073813101

e-Delphi in the outdoors: Stakeholder contributions to the development of a wellbeing-focused outdoor adventure education intervention program

2023· article· en· W7073813101 on OpenAlexaboutno aff

Bibliographic record

VenueResearchOnline@ND (The University of Notre Dame) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDelphi methodPsychological interventionFormative assessmentLikert scaleOutdoor educationStakeholderPsychosocialFocus groupIntervention (counseling)AdventureQualitative research
DOInot available

Abstract

fetched live from OpenAlex

Issue Addressed Outdoor adventure education (OAE) (programs involving outdoor activities such as rock climbing or white-water canoeing) that participants perceive as risky, conducted in a social support setting, can be utilised by practitioners to elicit changes in educational and psychosocial outcomes to support participant adolescent wellbeing. Methods This study garnered the opinions of an expert OAE panel on the content of future programs aiming to impact adolescent wellbeing. The panel consisted of local (Western Australia, n = 7), national (Australia, n = 4), and international (Canada, Germany, New Zealand, United Kingdom, United States, n = 7) experts. A two-round, mixed-methods Delphi approach was employed. Extensive formative work led to the development of a series of open-ended questions requiring qualitative responses for round one. Panellists were also asked to respond to 17 statements using Likert scales in the second round. Results After analysis, a consensus was reached for all statements, with five statements having high consensus and being considered important by panellists. Conclusions The statement ‘Equity for all participants requires flexible delivery and facilitation’ had the highest level of agreement amongst panellists. Connections, authentic experiences, and equitable experiences developed as key themes. So What? Future OAE interventions focused on wellbeing impact could use the findings of this research as a basis for program design.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.082
GPT teacher head0.304
Teacher spread0.222 · 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.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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