Bibliographic record
Abstract
This article seeks to characterize deconstruction (and “theory” generally) as a practical activity in order to assess its potential effects in view of Marx’s 11th Thesis on Feuerbach. Taking its cue from Derrida’s reference to the “inner edge of philosophy” in Theory and Practice, the article juxtaposes Derrida’s ostensibly philosophical approach with the contentious, historiographic approach taken by Ian Hunter. Reflecting on the activity of deconstruction from the outer edge of philosophy, as it were, the discussion first reviews Derrida’s diagnosis of the philosophical impulse to monopolize authority over all theory and practice, then interprets this move via Hunter’s “empirical” attempt to situate and analyze different modes of philosophizing as concrete exercises in self-problematization. The discussion highlights the surprising convergences in Derrida’s and Hunter’s arguments before adopting this view from the outer edge of philosophy in order to reassess where and how deconstruction’s practical effects may be registered.
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 | 0.026 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.100 |
| Scholarly communication | 0.018 | 0.028 |
| Open science | 0.002 | 0.026 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 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".