Citizenship, democracy and higher education in Europe, Canada and the USA
Bibliographic record
Abstract
Naval, and Kornelija Mrnjuas have embarked on an ambitious project in exploring the nexus between higher education, civic engagement, and democratic values.The editors' thesis is clear: "the social dimension of education" not only makes people more capable of adjusting to modern society but also allows them to enjoy life and improve the lives of others.The books seeks to explore are what this social dimension entails and how civic education can actually be implemented.According to the editors, the social dimension of education is less focused on standard educational aims such as individual success or institutional prestige than on how education can be a source of societal change that helps foster democratic values, peace, and human rights.In the western world, where neo-liberalism, individuality, and competition have come to define not only societies and educational systems, there is a need to re-imagine the social role of higher education.The university may be one of the few institutions that can still stand as a bulwark to dominant and unhealthy
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.013 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".