Bibliographic record
Abstract
This article operationalizes Bernard Stiegler’s conceptualization of the Neganthropocene, expanding his consideration of thinking (penser) as care (panser) or pænsée beyond the anthropo-techne limitations of his thought through the notion of a posthuman asignifying semiotics. It begins with an overview of Stiegler’s notion of the Neganthropocene as a mode of epochal thought building towards noesis and pænsée with the use of epiphylogenetic and exosomatic memory systems. Here, Stiegler’s approach is exposed as anthropo-techne centric, which in turn limits the possibilities of noesis. Turning to the work of C.S. Peirce, Gilles Deleuze, and Felix Guattari, an alternative formulation of epiphylogenetic memory is provided through the interrelation of trees and forests: in particular the coastal redwood (sequoia sempervirens). This asignifying semiotics provides the criteria for infusing Stiegler’s epiphylogenesis beyond the human. In turn, Stiegler is brought closer to the theories of entangled care presented in the work of theorists such as María Puig De La Bellacasa and Natasha Myers, allowing for a more dynamic design process.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".