THE TECHNIQUES AND MEANINGS OF A WORKSHOP TO CALL THE CITIZENS' ATTENTION TO COMMUNITY BUILDING : The case of international workshop at the historical quarter in Harbin, China(Urban Planning)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Harbin is a famous historical city in China where the historic conservation has been implemented earlier than any other cities in China. However in order to promote the conservation further citizen participation will be essential in the near future. As the first step to promote the citizen participation in Harbin we tried a workshop to call the citizens' attention to community building with the Harbin Institute of Technology. The study has three parts: First, we will inspect the present state of citizen participation in Harbin historic conservation. Second, we will introduce the three workshop programs carried out in Harbin. Finally, we will examine possibilities and effects of workshops in the community building in China.
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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 | 0.000 |
| 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 it