Bibliographic record
Abstract
This paper defends a ‘perspectivist’ reading of Plato’s dialogues. According to this reading, each dialogue presents a particular and limited perspective on the truth, conditioned by the specific context, aim and characters, where this perspective, not claiming to represent the whole truth on a topic, is not incompatible with the possibly very different perspectives found in other dialogues nor, on the other hand, can be subordinated or assimilated to one of these other perspectives. This model is contrasted to the other models that have been proposed, i.e., Unitarianism, Developmentalism, and ‘Prolepticism’, and is shown to address and overcome the limitations of each. One major advantage of ‘perspectivism’ against the other interpretative models is that, unlike them, it can do full justice to the literary and dramatic character of the dialogues without falling into the opposite extreme of turning them into literary games with no positive philosophical content. To say that Plato’s dialogues are ‘perspectivist’ is not to say that they contain no ‘doctrines’ on the soul, for example, but, on the contrary, to stress the plurality of doctrines, with the observation that each is true within the limits of the argumentative function it is introduced to serve and of the specific dialogical context.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".