Visual Knowledge Discovery from Public Transit Performance Data
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
Public transit is an important component of the day-to-day activities of many people. It provides a cost-effective and convenient way for individuals to commute to work, school, and other destinations. Public transit bus is a vital mode of transportation for students, as it enables them to commute to and from their educational institutions. Delays in bus schedules can have severe consequences, such as missing exams, meetings, and other important engagements. Hence, in this paper, we present a visual knowledge discovery solution to mine public transit bus on-time performance data and visualize the mined results. In particular, visual representation (e.g., graphs, time plots) from our visual knowledge discovery process help reveal factors contributing to bus delays in different neighborhood areas. This helps the service providers to improve their services, and thus enhance rider experience. Evaluation on real-life data from a Canadian city shows the practicality of our solution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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