Should we connect children to nature in the Anthropocene?
Bibliographic record
Abstract
Abstract To most conservationists and many parents, it seems obvious that it is a good thing to teach children to value the natural world. Not only does connection with nature support their development and well‐being, but it also supports ongoing efforts by humans to sustain the natural world. However, there are incontrovertible trends towards a diminution of the state of nature as a consequence of human activities. In this context, as a thought experiment, we address a rather grim question: Should we still encourage children to be connected to nature, to care for it and be concerned about it? We first consider the meaning of connection to nature in the Anthropocene, and then turn to a consideration of several ethical dimensions of this problem, including the potential trade‐off between well‐known health benefits of time in nature and the long‐term psychological impacts of loss of nature (e.g., ecological grief and solastalgia). While there is no simple answer to our question, our analysis does highlight underappreciated ethical dilemmas of the Anthropocene as well as the value of the local, urban forms of nature to which children around the world are increasingly exposed and engaging with in unprecedented ways. A free Plain Language Summary can be found within the Supporting Information of this article.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".