Citizenship and Education in Liberal-Democratic Societies
Bibliographic record
Abstract
Abstract The essays in the volume address educational issues that arise when national, sub-national, and supra-national identities compete. These include: how to determine the limits to parental educational rights when liberalism’s concern to protect and promote children’s autonomy conflicts with the desire to maintain communal integrity; whether, given the advances made by the forces of globalization, the liberal–democratic state can morally justify its traditional purpose of forging a cohesive national identity or whether increasing globalization has rendered this educational aim obsolete and morally corrupt; and whether liberal education should instead seek to foster a sense of global citizenship, even if doing so would suppress patriotic identification. In addressing these and many other questions, the volume examines the theoretical and practical issues at stake between nationalists, multiculturalists, and cosmopolitans in the field of education. The 15 essays included (which were originally presented at a symposium on ‘Collective Identities and Cosmopolitan Values: Group Rights and Public Education in Liberal–Democratic Societies’, held in Montreal from June 22 to 25, 2000), and an introductory essay by the editors, provide a genuine, productive dialogue between political and legal philosophers and educational theorists. The essays are arranged in three parts: I: Cosmopolitanism, Liberalism and Common Education (six chapters); II: Liberalism and Traditionalist Education (four chapters); and III: Liberal Constraints on Traditionalist Education (five chapters).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".