Hegel’s <i>Phenomenology</i>: On the Logical Structure of Human Experience
Bibliographic record
Abstract
Abstract I argue that Hegel’s Phenomenology is an attempt to prove that human experience displays a sui generis logical structure. This is because, as rational animals who instinctively create a universe of meaning to navigate our environment, the perceptual content of our conscious experience of objects, the desires that motivate our self-conscious experience of action, and the beliefs and values that make up our sociohistorical experience all testify to the presence of rationality as their condition of possibility. As such, Hegel’s Phenomenology not only requires of us that we transform the mission of logic into a description of the immanent logic at the basis of human experience, thereby making the task of logic “anthropological.” It also presents us with a novel model of human experience—one that: demonstrates the rationality already instinctively at work in our bodily sensations, perceptions, and desires; gives an account of the origins of human society and history; and also makes human experience irreducible to cognitive processes in the brain, psychological mechanisms, and the biological imperatives of survival and reproduction.
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 | 0.003 | 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 | 0.003 | 0.059 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".