International Collaboration in Developing Online Resources for Teaching Democracy
Bibliographic record
Abstract
The Spirit of Democracy project began in the summer of 2000. The project aims to strengthen the commitment to democratic ideals and institutions in Russia. The objective of the project is to enhance the capacity of civic educators to develop and sustain a dynamic and vibrant program of citizenship education. This goal is being met through supporting teachers in Canada and Russia by providing online resources and training that will assist them in engaging their students in a thoughtful consideration of the ideas that shape democratic societies. We live in a new and exciting time. Boundaries between countries and continents are fading, and developments in information technologies and interconnectivity are facilitating the spread of democracy. Web media, by its nature is the most democratic type of modern media and is ideally suited for conveying the 'spirit of democracy'. The Web also serves as a unique source of 'live' information by providing hypertext links to government organizations, international organizations, educational Web sites, and online magazines. The pedagogical approaches adapted by the project include blended learning, situated learning, and creative use of Web media to effectively teach democracy on the Web. The project Web site brings together a community of practice in cyberspace - a community of social studies researchers and teachers from Russia and Canada. We believe that in order for the existing Spirit of Democracy's virtual community to continue to grow and function successfully it would be necessary to create a supporting management framework for a second phase of the project. We believe that a logical extension of the project would be to create a 'Spirit of Democracy' portal that will accommodate resources to support the work of the 'Spirit of Democracy's' community members and Russian-led Centers of Excellence in Civic Education.
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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 | 0.030 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".