Exploring the significance of early life outdoor experiences: a scoping review of retrospective outdoor methods
Bibliographic record
Abstract
Outdoor programs have shown holistic health benefits for participants, with recent evidence indicating that these benefits can extend long after the conclusion of the program. The methods employed in retrospective studies exploring these outcomes are diverse, leading to many different approaches. Furthermore, only a few studies reference a theoretical framework guiding the authors’ approach. The primary objectives of this review were to (1) identify the purposes and outcomes from retrospective studies related to outdoor experiences, (2) summarize the methodological characteristics, and (3) compile reported methodological limitations. A Peer Reviewed Electronic Search Strategy (PRESS) was employed to search four prominent databases; Yielding 5206 candidate studies, from which 31 met the inclusion criteria. Data analysis revealed that there were four main study purposes and 22 unique outcomes. Retrospective, longitudinal, and follow-up were the three main methodological designs, with methods exhibiting significant variation and diversity. This review concludes with five suggestions for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.020 | 0.019 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".