Citizenship, Democracy and Higher Education in Europe, Canada and the USA
Bibliographic record
Abstract
1. Citizenship, Democracy and the University: Theory and Practice in Europe and North America Jason Laker, Concepcion Naval and Kornelija Mrnjaus PART I: FOUNDATIONS AND FRAMEWORKS 2. Towards Inclusive and Generative Citizenship Education Michelle Nilson, Catherine Broom, Joanne Provencal and Heesoon Bai 3. Professor, Citizen, Parrhesiastes Naomi Hodgson and Paul Standish 4. Higher Education Student Civic Engagement: Conceptualizations of Citizenship and Engagement Strategies Rhonda Wynne 5. Rethinking Teacher Effectiveness in Democratic Citizenship Education for Ensuring Peace Alok Gardia and Deepa Mehta 6. Engaging with the Other: Student Community Engagement and the Development of Citizenship after Conflict Juliet Millican 7. Making Our Community Engagement Matter in the Community Randy Stoecker and Mary Beckman PART II: POLICY ENVIRONMENTS 8. The Relevance of Higher Education in Slovenia for Creating Virtuous Citizens and a Working Democracy: An Underexploited Source? Tomaz Dezelan, Alem Maksuti 9. Citizenship and Higher Education in Portugal: Impact of the Bologna Process Helena Lopes, Sofia Veiga, Pedro M. Teixeira and Isabel Menezes 10. Civic Education as Profession: Current Developments in German (Higher) Educational System and Qualification Opportunities for Teachers and Trainers Dirk Lange and Sven Rossler 11. Do Students' Dreams Now Fit in Ballot Boxes? Gonzalo Jover, Esther Lopez and Patricia Quiroga 12. EDC/HRE in Croatia: Perspectives, Problems and Promises Kornelija Mrnjaus 13. Women, Universities, Leadership and Citizenship Helena C. Araujo 14. Taking it Personally: Engaging Democracy, Human Rights and Civic Participation as the Vocations of Higher Education Jason Laker
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".