Bibliographic record
Abstract
A critical assessment of Merleau-Ponty’s conception of phenomenology highlights singular differences between Husserl’s phenomenological methodology and existential analysis, between epistemology and ontology, and between essential and individualistic perspectives. When we duly follow the rigorous phenomenological methodology described by Husserl, we are confronted with the challenge of making the familiar strange and with the challenge of languaging experience. In making the familiar strange, we do not immediately have words to describe what is present, but must let the experience of the strange resonate for some time, and even then, must return to it many times over to pinpoint its aspects, character, or quality in descriptively exacting ways. Moreover as Husserl points out, language can seduce us into thinking we know when we do not know. The methodology thus highlights the import of being true to the truths of experience, and in doing so, authenticates the basic value of a phenomenological methodology to the human sciences.
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 | 0.049 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.084 |
| Scholarly communication | 0.016 | 0.037 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.011 | 0.033 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".