Bibliographic record
Abstract
One of Scott Cameron’s most recent contributions to environmental hermeneutics (a field in which he was a founding scholar) was to defend the concept of nature against those who would argue that it should be abandoned in order to stave off the ecological destruction. Rather than jettison nature as an outdated and unhelpful construct, Cameron argued for its redemption based on Gadamer’s hermeneutical insights into language. In this article, I will look at Cameron’s arguments against Steven Vogel as well as particular points made against nature as a concept recently articulated by Slavoj Žižek and Timothy Morton. I will follow these arguments through, demonstrating that while the arguments can be accepted and are, indeed, accurate, the conclusion that the concept of nature be abandoned need not and should not be conceded. Finally, I will return to Cameron’s hermeneutic defense of a concept of nature and expand further on his insights and arguments. With Cameron, I conclude that the concept of nature can be redeemed. Extending Cameron’s line of reasoning, I argue that this aim is accomplished by refiguring the concept of nature with the insights offered by philosophical hermeneutics.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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; both teacher heads agree on what is shown here.
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".