Phenomenological reduction in Merleau‐Ponty's <i>The Structure of Behavior</i>: An alternative approach to the naturalization of phenomenology
Bibliographic record
Abstract
Abstract Approaches to the naturalization of phenomenology usually understand naturalization as a matter of rendering continuous the methods, epistemologies, and ontologies of phenomenological and natural scientific inquiry. Presupposed in this statement of the problematic, however, is that there is an original discontinuity, a rupture between phenomenology and the natural sciences that must be remedied. I propose that this way of thinking about the issue is rooted in a simplistic understanding of the phenomenological reduction that entails certain assumptions about the subject matter of phenomenology and its relationship to the natural sciences. By contrast, Merleau‐Ponty's first work, The Structure of Behavior, presents a radically different approach to the phenomenological reduction, one that traverses the natural sciences and integrates them into phenomenology from the outset. I outline the argument for this position in The Structure of Behavior and then discuss consequences for current methodological issues surrounding the naturalization of phenomenology, focusing on the relationship between empirical sciences of mind, phenomenological psychology, and transcendental phenomenology. This novel exegesis of Merleau‐Ponty's view on the reduction offers new insight into his oft‐quoted remark that the phenomenological reduction is impossible to complete.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.058 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| 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".