Bibliographic record
Abstract
This chapter is focused on aspects ot the superordinate Idea of the Good. Why is the first principle of all a normative principle (Section 2.1)? How does the Idea of the Good differ from an “ordinary” Form of the Good (Section 2.2)? Why is the unhypothetical first principle of all also the goal of everything, that which all desire (Section 2.3)? How does the Idea of the Good differ from the Demiurge? Why is the Demiurge good but not the Good (Section 2.4)? How is the admonition in Theaetetus to “assimilate to god” related to the Good as goal (Section 2.5)? In Symposium, the relation between eros and the Good is explored (Section 2.6). In Lysis, the idea of a “prōton philon” is comapred to the Idea of the Good as goal (Section 2.7). The evidence frrom Aristotle and from the indirect tradition that Plato identified the Good with “the One” is assembled. Why is oneness an index of goodness? The idea of integrated unity according to kind is introduced (Section 2.8).
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".