Planning with Citizens: Implementation of an e-Planning Platform and Analysis of Research Needs
Bibliographic record
Abstract
Citizen participation should be an essential part of an urban planning process if the needs of the local population are to be addressed. Citizen participation should also improve acceptance of private construction projects by residents that live in or near such development. A complementary form of citizen participation to public planning meetings is to permit citizen engagement via Web 2.0 technologies, which also has the potential to get citizens involved that are usually difficult to reach. We aim to build a social, i.e. participatory, planning platform that allows technology savvy citizens to inform themselves of future and ongoing development projects and to also discuss them online. In this work we discuss the functional needs and context-of-use constraints of such an e-planning platform. A conceptual model of the technical architecture is outlined and a prototype implementation is presented. This prototype is built on free and open source software components, including a social network, to enable platform adoption in other locations. Finally, we discuss the research needs that are to be addressed if the development of participatory e-planning platforms should advance.
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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 | 0.024 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".