The Socialization of Human Rights and the African Human Rights Action Plan: Issues, Challenges and Opportunities
Bibliographic record
Abstract
Abstract This article critically analyzes human rights socialization in Africa through the lens of the draft African Human Rights Action Plan (AHRAP). It argues that the AHRAP presents a framework for human rights socialization, and it speaks to human rights socialization in distinctive ways. The article demonstrates that the AHRAP relies on African and international influences and seeks to propagate norms inspired by these influences. It analyzes three key issues from the AHRAP and discusses how those issues shape understanding of continental human rights socialization in Africa. These issues are the multiple roles and positions of the African Union, the identity of actors to whom socialization processes apply or ought to apply, and the nature of norms which are the focus of socialization efforts. The article’s analysis of these issues along with the AHRAP’s reliance on African and other influences reveal a path for human rights socialization in Africa that is both challenging and promising.
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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 | 0.033 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.054 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".