Bibliographic record
Abstract
Resulting from a collaborative approach, Doing Democracy in "Third Places" presents the results of multi-site ethnographic research in seven Quebec civil society organizations. It reports on observations, analyses and comparisons of a diversity of innovative citizenship education practices aimed at young people in these “third places”, i.e. socialization spaces different from school and family.Focusing on the presentation of case studies, the book reveals the diversity of formative experiences offered to young Quebecers. The pooling of case analyses leads to a fruitful reflection on education for democratic citizenship through a plurality of citizen experimentation practices rooted in the defense of children’s rights, feminist social action, the community movement, alterglobalism and municipal and school public action. With its original conceptual vocabulary and qualitative methodological approach, this book will help to push back the geolinguistic and disciplinary boundaries that often separate research currents closely or remotely related to the social and political engagement and participation of young people. Written in an accessible style, it is aimed at a wide audience, including youth organization staff, graduate students, the youth policy sector and anyone interested in the issues surrounding youth citizenship in the 21st century.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.020 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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 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".