Technologies of the Self as Antidotes to Chaos: A Foucauldian Reading of White Deer Plain
Bibliographic record
Abstract
Neo-Confucians the recovery of the innate goodness in human nature becomes an important task in life, a task through which human beings can learn to be in accord with the Way of Heaven. In contrast, human nature per se is not an important issue in White Deer Plain. What is important to the author is not how human beings should look inward for seeds of moral behavior but how human beings should look outward for moral guidance. In view of this discrepancy, I would propose to approach White Deer Plain with the help of Michel Foucault’s views on the 'technologies of the self'....practices of freedom through which the Greeks constituted themselves according to certain models in their culture. Since citizens who cared for themselves correctly would behave correctly in relation to others and for others, the technologies of the self would contribute to good, stable government.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.039 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".