Promoting Citizenship Right through Street Law Projects
Bibliographic record
Abstract
Citizens in any community who live in a particular area have (political, social and economic) rights in common that are determined by the way they play their parts in contribution to urban affairs. Citizen rights can be defined as a set of rights and responsibilities of the community versus their government. How these rights are exercised is determined by the international law. In this respect, the need is felt for the promotion and spreading of the citizenship culture, social capital and fulfillment of the advanced, progressive and well-developed community. The applied law education plan entitled ‘Street Law’ is an initiative within the framework of the program by collegiate law education Cliniques aiming at teaching law to the underprivileged and those who are ignorant of their rights and spreading law consciousness among the citizens. These rights are in direct association with the people’s rights in social, cultural and political terms and are written and taught in simple language. Education department can play a vital role in this process, and the training can be delivered directly at schools or universities or in an informal manner they can be given to the community through the mass media (radio, television, newspapers and promotional movies).
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 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".