The emerging role of the Internet in municipal planning
Bibliographic record
Abstract
This research project examines the role of the Internet in the context of municipal planning during a six-month period beginning in April of 1999 and ending in September of 1999. The research objectives include: identifying current applications of the Internet in municipal planning agencies; describing the planning, design, and implementation considerations for the Web development process; investigating planners' perceptions of the Internet; and considering the future possibilities for the Internet in municipal planning practice. The Internet phenomenon is first explored in terms of its socio-cultural implications for public participation in planning, issues of access and security, and the perception of community. Next, the evolution of computers in planning is explored and some of the practical applications of the Internet are presented through the use of current examples. The development of such applications is also explored in terms of planning, design, and implementation considerations with the intent to provide some practical guidelines for planning agencies. Subsequently, the research process is explained with particular focus on an Internet-based survey developed with HTML. The results of this survey are presented and provide insight to the status of Internet usage in Canadian municipal planning agencies. From the results, one can infer that municipal planners feel positively about the use of the Internet in planning practice and that the obstacles to the development of Internet-based applications are trivial compared to the possibilities that exist.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".