Fostering early adolescent health and planetary well-being through nature: a Delphi study on nature-based literacy
Bibliographic record
Abstract
Becoming nature 'literate' may promote nature engagement in early adolescence, supporting both health and well-being, while nurturing a sense of environmental stewardship. This study aimed to advance the formative research necessary for the development of a nature-based literacy framework including a set of indicators specific to its measurement during early adolescence. An e-Delphi study design was used with an expert panel comprised of international academics (n = 18) and practitioners (n = 8). After three rounds, experts agreed key components of nature-based literacy were knowledge, competence, confidence, motivation, experience, connection, and stewardship. The nature-based literacy framework comprehensively represents the intrapersonal factors and related indicators that influence nature engagement, particularly during early adolescence. This will support the development of interventions designed to enhance early adolescent health outcomes, strengthen their connection to nature, and inspire them to value and protect the natural world.
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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 | 0.017 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".