Bibliographic record
Abstract
Rather than appealing to universal truth or morality based on the power of reason, Nietzsche’s impassioned plea for resuscitating the embodied self as a source of ethics provides a new perspective on educational philosophy. Within the concept of Will to Power, he offers the notion of the Übermensch as a model for overcoming the social limitations of Christian morality and the dictates of fashion. In a formative state, ‘untimely men’ (and here, read ‘Nietzsche’) stand outside the homogenising influence of the State. Nietzsche’s Übermensch, involving a continuous process of ‘overcoming’ and ‘becoming’, is suggested as an alternative to the autonomous liberal subject as an educational ideal. It provides a perspective that contrasts with the egalitarian and collectivist notions that underpin social democracy and social justice as guiding ideals for educational endeavour. This paper questions the liberal hope that education is automatically the path to freedom and autonomy, arguing that education can be valued as a means of developing a reflective or critical view on our social predicament. Übermensch, perhaps the closest Nietzsche comes to an educational ideal, represents agonistic engagement with our social predicament and an overcoming of instrumental views about education. This paper investigates Nietzsche’s figure of the Übermensch and examines some functional aspects of that same figure that help to explain the notion of education relevant to this paper.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.027 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| 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".