Promoting a master plan by encouraging participation: On the culture of convergence in urban planning
Bibliographic record
Abstract
The aim of this contribution is to help develop a new model of the use of storytelling in planning. To this end, it draws on media studies research as well as literary studies that examine so-called transmedia storytelling devices. The authors use this method to examine the communication strategy around the 2030 Cantonal Master Plan of the Republic and Canton of Geneva (Switzerland). This communication strategy, which attempts to construct the reception of development projects, mobilizes practical regimes that can strengthen the engagement of different audiences with the process of giving narrative form to future urban developments. Communication and public participation in an urban project tend to hybridize, thereby complexifying debates on the use of storytelling in planning, which often contrast its educational use (explain projects to the general public) with its manipulative use (make projects desirable so they may be accepted). By conducting an analysis through the prism of transmedia storytelling, we can simultaneously consider these two aspects of communication in planning.
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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 | 0.019 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.049 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".