Bibliographic record
Abstract
In this chapter I argue that there is an intrinsic connection between the kind of world in which we find ourselves today — a world in environmental crisis — and the kind of body we have created for ourselves. If we are to bring about a positive change in our environmental situation, we must significantly transform our bodily being at the same time. I will contend that Sartre’s phenomenological description better fits our current experience of our body and the world than does Merleau-Ponty’s. Further, I will argue that Sartre’s analyses of the look and the practico-inert can help us understand where we are environmentally today. These analyses also illuminate our alienation from the body and world that may well play a major role in environmental destruction and political conflict. This chapter shows that Foucault’s and Duden’s critiques of the modern body draw on Sartre’s analysis of the look. Further, I demonstrate that combining aspects of Sartre’s philosophy with Merleau-Ponty’s, Foucault’s and Duden’s perspectives yields a fruitful approach to current concerns. 1 These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".