Working Elements of a Dynamic Public Transport System
Bibliographic record
Abstract
Working Elements of a Dynamic Public Transport System is a research and design study based on the development of a reinvented public transportation system for Grand Cayman in the Cayman Islands. The research explores the current travel landscape of the island as well as the public transportation industry on a global and regional level, applying relevant technologies and related systems. The proposed design includes a two-part system with dynamic capabilities to utilize communication through technology and increase efficiency. An installation was developed to explore changes in behaviour and current practices of public transportation users. Public transportation, systems in technology and specific technologies and design thinking are mobilized throughout Working Elements of a Dynamic Public Transport System. Design Thinking both as an underlying methodology and as research method builds on a user centric point of view to develop more responsive systems that utilize the island's existing transit routes. Cognitive Semiotics in the context of signs and symbols applicable to transit was used to help drive the research process and is applied to drive the research process and Thinking Through Making in several creation of the prototypes and the final thesis exhibition. \n \nKeywords: Transportation, Urban Design, Technology, Innovation, Communication
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".