The Convergence of Human and Citizenship Rights in the Globalization Era
Bibliographic record
Abstract
Human and citizenship rights, the former refers to the individual for being a human and the latter to citizens of statesfor being members of a political community, have their own historical, social and political foundations. Therefore, any analysis about their relations should bring historical, social and legal foundations into consideration. While the content of citizenship rights can be analyzed in the context of human rights and in fact they origin from them, their relationship should be characterized based on their substantive and procedural aspects. One cannot claim the overlapping or inconsistency of these two rights just by conducting a shallow analysis. Particularly in the era of globalization and expansion of international communication, these rights have been the centerpiece of all global issues. Thus, paying attention to the relationships between these rights in both national and international levels is very important.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.060 |
| Scholarly communication | 0.012 | 0.024 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".