Merleau-Ponty’s Artist of Depth: Exploring “Eye and Mind” and the Works of Art Chosen by Merleau-Ponty as Preface
Bibliographic record
Abstract
The original Gallimard edition of Merleau-Ponty’s last-published essay, "Eye and Mind," which was printed as a slim, separate volume containing only this essay, includes a visual preface of seven artworks, chosen by Merleau-Ponty. This essay takes the key assertion of "Eye and Mind"—that rather than seeing depth as the “third dimension,” as seen traditionally, “if [depth] were a dimension, it would be the first one” (180)—and applies it to the reading of these artworks preceding the text. There is an analysis of how and why depth is the first rank in not only rethinking art, but also in rethinking Being itself. The development of the idea of depth as the going together of incompossibles in time and in space is explored by turning to Merleau-Ponty’s texts, beginning with the Phenomenology of Perception through to his last works. The last section of the essay carefully analyses six of the seven visual works of art (omitting Cézanne about whom so much has been written) to see the ways in which they instantiate this new notion of depth as the motive force of art and the heart of the flesh of the world.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".