Bibliographic record
Abstract
After a short biographical summary of Aristotle’s life, this lecture turns to the different ways in which Aristotle and Plato practiced philosophy, identifiable in the different ways they presented their ideas. Through this lecture’s lens we view these philosophers’ texts, Aristotle’s logic, syllogism, Aristotle’s rhetorica, and the distinction he drew between ethos, pathos, and logos, referring to the speaker, the audience, and the discourse. Suivant un bref sommaire biographique de la vie d’Aristote, ce cours se penche sur les différentes manières dont Aristote et Platon pratiquaient la philosophie, identifiables par les façons divergentes dont ils présentaient leurs idées. Dans ce cours, on passe en revue les textes de ces philosophes, la logique d’Aristote, le syllogisme, la Rhétorique d’Aristote, et la distinction que celui-ci a faite entre ethos, pathos et logos, c’est-à-dire l’orateur, l’auditoire et le discours.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".