Hegel's Science of Logic: A Critical Rethinking in Thirty Lectures, by Richard Dien Winfield.
Bibliographic record
Abstract
Anyone writing a commentary on the whole of Hegel's Science of Logic is faced with almost insurmountable challenges. Hegel explores a series of concepts or categories through twenty-seven chapters, all of which have a sequence of subordinate stages. Since he is exploring the patterns of pure thought, the argument is developed using language that leaves concrete illustrations and applications to asides and independent remarks, and requires disciplined thought to grasp its implications. Any serious attempt to unpack the entirety of that dense prose as it wends its way through its extended itinerary needs to provide not only an integrating overview of Hegel's program, but also a detailed explanation of the transitions he makes from concept to concept. Richard Winfield adopts a simple approach to these challenges. The lectures he gave in a course on the Logic were recorded, transcribed, and then edited into a manageable volume. That format imposed a restraint on the length of the resulting analysis, but the benefit is balanced by the need it imposes to skate lightly over many of the details.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 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".