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
It is widely accepted that a basic task of schooling is to prepare each new generation for their responsibilities as citizens. Indeed, the need to create a knowledgeable and responsible citizenry was one of the major reasons for establishing a public school system, and for making education mandatory. Education for citizenship includes, but also goes far beyond, classes in ‘civics’. Citizenship education is not just a matter of learning the basic facts about the institutions and procedures of political life; it also involves acquiring a range of dispositions, virtues and loyalties that are intimately bound up with the practice of democratic citizenship. Children acquire these virtues and loyalties not just (or even primarily) in civics classes. Rather, they are inculcated throughout the educational system. The aim of educating citizens affects what subjects are taught, how they are taught, and in what sorts of classrooms. In this sense, education for citizenship is not an isolated subset of the curriculum but, rather, one of the ordering goals or principles that shape the entire curriculum.
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 | 0.000 | 0.000 |
| 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) | 0.006 | 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 it