Proceedings from the Seventh International Symposium on Tunnel Safety and Security, ISTSS, Montréal, Canada, March 16-18, 2016
Bibliographic record
Abstract
This report includes the Proceedings of the 7th International Symposium on Tunnel Safety and Security (ISTSS) held in Montreal, Canada, 16-18 th of March, 2016. The Proceedings include 59 papers given by session speakers and 9 extended abstracts presenting posters exhibited at the Symposium. The papers were presented in 17 different sessions. Among them are Emergency Management, Passive Protection, Case Studies, Safety Levels and Acceptable Risks, Fixed Fire Fighting Systems, Security and Safe Operations, Regulations, Testing and Design, Risk Analysis, Ventilation, Evacuation and Fire Dynamics. Each day was opened by invited Keynote Speakers (in total six) addressing broad topics of pressing interest. The Keynote Speakers, selected as leaders in their field, consisted of Alexandre Debs, Ministére des Transports du Québec, Canada, Gary English, City of Seattle Fire Department, USA, Tony Cash, Transport for London, UK, Ahmend Kashef, National Research Council of Canada, George Hadjisophocleous, Carleton University of Canada and Harold L. Levitt, The Port Authority of New York and New Jersey, USA. We are grateful that the keynote speakers were able to share their knowledge and expertise with the participants of the symposium.
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.
How this classification was reachedexpand
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 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".