Bibliographic record
Abstract
For evil belongs to the class of the unlimited, as the Pythagoreans conjectured, and good to that of the limited. -Aristotle, Nichomachean Ethics[F]or man, in so far as he is a natural being, keeping within limits is justice.-Simone Weil, "The Pythagorean Doctrine" ne of the pillars of modem liberalism is its assertion of the radi-V^/ cal autonomy of the human subject.Within modernity, all of nature, both human and non-human, comes to be understood in rela tion to that essential freedom and it follows, then, that any limits to the exercise of freedom must, themselves, be freely postulated by an autonomous will.Such limits are, in the final analysis, seldom more than a matter of convenience or the terms of a contract between competing interests.Because freedom is seen as an absolute and selfevident good it becomes increasingly impossible to speak publicly of goods which may transcend, or circumscribe or limit that freedom.Canadian philosopher Charles Taylor writes: "The notion of selfdetermining freedom, pushed to its limit, doesn't recognize any boundaries, anything given that I have to respect in my exercise of self-determining choice" (1991, 68).Freedom as the essence of being can be seen as the dominant idea in modern Western thought.It finds perhaps its fullest expression in
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".