Bibliographic record
Abstract
This paper examines the relationship between Merleau-Ponty's lectures on institution and his lectures on passivity. I argue that the relationship depends on Merleau-Ponty's internal critique of institution as outlined in Husserl's ouevre. That is, institution is not only human institution, which rests on temporality and time-consciousness (and so concerns memory, history, culture, etc), but also animal, biological and even virological, which rests on a certain, non-euclidian space of the body. Merleau-Ponty's focus in the course is animal institution: animal morphology, menstruation, puberty, etc. These are what tie institution and passivity together, and especially the passivity that Merleau-Ponty calls the "symbolic matrix," the touchstone of which is the "implex." While the paper discusses, Merleau-Ponty's critique of Husserl and the consequent understanding of a passivity in institution, it opens the possibility that the virological may be yet another kind of passivity that has instituted a new trajectory in human institution. This is highlighted in the very word "pandemic."
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.045 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".