Bibliographic record
Abstract
Abstract Merleau‐Ponty suggests that to perceive is to be “geared into” the world. In perceiving, we are related to a temporally structured modal space of bodily possibilities that is co‐constituted by the body and the world. When we perceive, we are “geared into” this structure and responsive to it; when we misperceive, we are not. In misperceiving, we are unaware of our failure to be geared into the world, and in this respect, we lack awareness of what we are doing. In explaining misperception via this lack of self‐awareness, Merleau‐Ponty anticipates a key feature of M. G. F. Martin's epistemic disjunctivism: the idea that perceptions and misperceptions can be indiscriminable because of a self‐awareness we lack, rather than a set of positive phenomenal features that two experiences share. However, because Merleau‐Ponty's account of self‐awareness imposes relatively few cognitive demands, he is able to explain how adults, infants, and dogs can be self‐aware in the same sense, and how they can fail to discriminate between their experiences in the same way. This provides Merleau‐Ponty with the resources to answer Susanna Siegel's objection to epistemic disjunctivism on the basis of “cognitively unsophisticated hallucinators.”
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".