Bibliographic record
Abstract
Introduction In this chapter, I explore John Stuart Mill's philosophy of education and its connection and intersection with democracy, within the context of his distinctive form of utilitarianism and his egalitarian liberalism. Mill's writings are notably attentive to educational matters, and it is striking just how many of his works emphasize the themes of education and democracy. Mill's philosophy is frequently invoked in discussions of democratic theory, and his writings offer useful tools to contribute to thorny contemporary questions about appropriate democratic education, democracy and disagreement, and democratic deliberation. The historical position of Mill's liberal political philosophy amplifies its capacity to contribute to these debates. Mill is a watershed figure in the history of liberalism: although there is room to disagree over the precise nature of Mill's role in the history of liberalism, there is general agreement that Mill manages, on one hand, to continue the pedigree of his liberal forebears while, on the other hand, expanding and reconstructing some of liberalism's core notions and principles. The result is a form of liberalism that is very current and that moves beyond the liberalism of Jeremy Bentham and James Mill. C. B. Macpherson adeptly pinpoints one of Mill's points of departure when he notes that Mill has greater hopes for the future of democracy than his father James Mill does because the younger Mill saw in democratic institutions and practices a means of promoting human development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".