Streamlining System Assurance Program Objectives and Compliance With Both European and American Standards by Early Integration
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
Abstract The extent of System Assurance (SA) program complexity changes from one transit project to another, considering the fact that the levels and the types of regulation of safety and security requirements for public transit systems varies significantly in different jurisdictions, states, and countries, depending on the public’s perception of the acceptable (tolerable) risks in using a technology. This paper discusses some of the key SA challenges in new urban rail transit systems being built in Toronto, Ontario, Canada, specifically in terms of the system safety and security assurance compliance with European and American standards, and also explains steps and approaches to help circumvent unnecessary burdens that would negatively impact the cost, the schedule and the effectiveness of the system safety and security assurance programs. A key step in streamlining the SA program in leniently regulated environments, that transit safety and security authorities primarily focus on establishing a “process”, without defining “measurable goals”, is early engagement of the SA program developers with the stakeholders to reach agreement on what constitutes a safe-enough and secure-enough public transit system for passenger service, at the beginning of project, perhaps prior or during the conceptual design phase.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it