Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of writing this paper is to assess the importance of citizenship education as a part of curriculum. How we can use citizenship education to make young students good citizens. The study is done in Pakistani context with the comparison of countries having well established system of citizenship education, like Canada and UK. Pakistan is a new country and it has inherited many difficult problems from its former rulers, such as illiteracy poverty, disease and social misery. Citizens should not only take interest in the problems of the country, but also participate in solving them. Citizenship education is the most effective way of making people civil so that they can contribute in the development of their country. Citizenship education is necessary for students to become responsible and active citizens of the country. A right approach is needed to establish a strong citizenship education system in Pakistan. The system must include the understanding of updated economic, social and political happenings of the country especially the democratic system. This can encourage students to effectively participate for the right development of their country. Keywords: Citizenship Education, Curriculum, Democracy
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it