Bibliographic record
Abstract
The interest in passion pervades every field of research in the 17th century philosophy and even becomes the central topic of the philosophical theories of Hobbes,Descartes, Spinoza and Locke.Rene Descartes’ Les Passions de l’âme reveals the intrinsic features of passion and its relationship with those subjects to be perceived. Getting insight into dualism of mind and body, he uncovers the sophisticated bonds between the two. In a narrow sense, passions can be deemed as a kind of perceptions connected with a man’s soul.Descartes explains what is passion from the perspective of internal dynamics of our bodies and employs both rational and objective methods to examine it. It is worth noticing that training a person to be virtuous makes the best way to remedy our passions which are always out of control. Descartes particularly concentrates on tolerance as a virtue and its function of treating other people equally to honor their free will. Though our passions are unpredictable, our soul still has the ability to control them by its power of wisdom to counter the impermanence of fate. Starting with the researches about passions, Descartes builds up his ethical system and finally proposes a kind of liberal morality aimed at respecting everyone’s free will.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.063 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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".