‘I might know when I'm an adult’: making sense of children's relationships with nature
Bibliographic record
Abstract
This paper reports subjective experiences in nature of 5 children aged 6–10 years collected during a 5-day camp in a botanical garden. Creative expressive visual methods and semi-structured interviews were used to collect data. Inductive analysis produced the follow themes: children being positioned to take care of nature and to be taken care of by nature, as well as nature needing protection from children and children needing protection from nature. The roles of gatekeepers in mediating attraction to and repulsion from nature were also highlighted. We examine these in the context of socio-cultural constraints and invitations that children experience in developing these relationships. These themes are discussed using a theoretical framework that blends Vygotsky's socio-cultural development theory with Gibson's theory of affordances. Findings contribute to a more integrated understanding of how ecological psychology and social psychology can inform our understanding of children's relationships with nature; in particular, how children's experiences with nature are mediated by socio-cultural factors. By adding to our understanding of how children develop relationships with nature, practitioners can more effectively facilitate experiences that encourage pro-environmental and stewardship attitudes and behaviors as well as result in positive health and development outcomes for children. This paper contributes to the children's geographies literature by strengthening the theoretical foundation from which geographers approach child–nature relationships.
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 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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| 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".