Bibliographic record
Abstract
Drawing on the Lacanian notion of “extimacy,” which denotes that which is both intimate and exterior, this article aims to contribute to the bourgeoning field of psychoanalytic political ecology by emphasizing two extimate features: the instability of—or extimacy in—the socionatural world, rendering impossible notions of natural unity or harmony; and the priority of the Excluded, viewed as symptomatic of—extimate to—the ills of global capitalism: those upon which the System vitally depends yet repudiates. The article dwells on the crucial linkage between these two extimate elements—socionature's volatility and subaltern politics—asking what it might entail in our age of ecological crisis. What political-ecological structures would need to be in place for addressing ecological turbulence, while also tackling the socioeconomic antagonisms that produce the Excluded? And how might the social and environmental commons have to be regulated to better ensure that the subaltern does not pay the highest price in order that the wealthiest pay the lowest? By addressing these questions through the lens of extimacy, the article probes the emancipatory potential of political ecology.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".