Bibliographic record
Abstract
This paper is an attempt to fill the gap in the literature by presenting a language policy formulated according to the idea of constitutional patriotism that overcomes the charge of ineffectiveness. I will argue that the procedural character of constitutional patriotism and its emphasis on the practice of law-making is best suited to allow for a pragmatic answer to the questions of language policy-making in multicultural societies. Unlike the instrumental and intrinsic arguments, the pragmatic approach views language as the matrix of communication where the goal of engaged citizens is mutual understanding. The pragmatic approach is also more effective because unlike the principled approaches, which tend to homogenize the composition of diverse societies, it constrained by (1) values of political culture of the society; (2.a) historical contingencies such as the founding role of national minorities; and (2.b) practical feasibilities such as size, vitality and concentration of linguistic populations. In recent years the normative status of minority rights as a species of human rights has been widely discussed by political theorists. In this context, the issue of minority language rights is one of the most hotly contested topics in the prevailing debate over the claims of culture. Mainstream political theories approach this topic differently, depending on their view of an appropriate model of political association. Liberal egalitarians emphasize the significance of the liberal ideals of neutrality and autonomy in deciding appropriate language policy, while liberal culturalists focus on the constitutive role of language and culture for the individual’s exercise of rights and liberties that translate into a language policy that ranges from recognitions and accommodation to maintenance and protection of group identity and language.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.010 | 0.094 |
| Scholarly communication | 0.015 | 0.021 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".