Citizen Participation at the Local Level in China and Canada
Bibliographic record
Abstract
Introduction to Citizen Participation at the Local Level in China and Canada: Comparative Cases, Andrew Sancton The Paradox of Participation: An Overview of Public Participation and Local Government in Canada, Katherine A.H. Graham The Development and Chinese Characteristics of Civic Participation in Local Governance: The Perspective of the Transformation of Governmental Functions, Chen Fang Participation of the Urban Poor in Vancouver, Canada, Emmanuel Brunet-Jailly Community-Based Poverty Alleviation: A Case Study of the Zhonghua Subdistrict in Xiamen, Ding Yu Civic Mobilization for Environmental Protection, Yu Zhangbao Citizen Action for Sustainable Development: Case Studies in London, Ontario, Canada, Carol Agocs and Kate Graham Fight or Facilitate? Social Policy, Municipal Government, and Civil Society in an Economically Disadvantaged Canadian Region, Tom Urbaniak Public Participation in Low-Rent Housing Policy: A Case Study of Xiamen, Meng Hua Social Capital and Local Initiative Participation of Chinese Villagers: Analysis of Factors Affecting Villagers' Participation in Village Committee Election, Hu Rong Facilitating the Participation of Immigrant Students in Canada's Schools, Jean Kunz An Analysis of Urban Education Policies Pertaining to Migrant Workers' Children, Li Xue Newcomers to the City: Institutional and Noninstitutional Modes of Civic Participation for Newcomers in Ottawa, Caroline Andrew Conclusion, Chen Zhenming Index
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.016 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".