Reconnecting Environmental Bioethics by Recognizing Evolutionary Traps

Clicks: 2
ID: 338493
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #1,651 of 1,787 articles by views in Oxford University Press eBooks

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,787 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract The climate crisis is perpetuated by evolutionary traps, corporate human behaviors that impact the global scale of society, lowering the biological fitness of our species. Traps are driven by a disconnect between knowledge and power, promoted by the global economy, which relies on the consistent decontextualization of consumption and production. The attempt to solve problems by applying the logic of the traps only strengthens the trapping mechanism, leading to cultural vulnerability to traps. Ancient wisdom is necessary to understand, critique, and find sane responses to the problems we face. By exploring Plato’s integration of individual and social justice, an alternative to consumptive disconnection is offered that promotes the renewal of contemplative education’s power to connect, adapt, and facilitate new strategies to avoid evolutionary traps.
Reference Key
openalex_W7225188034 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aaron K. Kerr
Are you one of these authors? Claim your profile
Journal Oxford University Press eBooks
Year 2026
DOI
10.1093/9780197807262.003.0003
URL
https://doi.org/10.1093/9780197807262.003.0003
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.