Cruise industry safety and security : developments and considerations
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
Preface Vessels: Most Required Security & Safety Measures Have Been Implemented, but Concerns Remain About Crime Reporting Testimony of Rear Admiral Joseph Servidio, Assistant Commandant for Prevention Policy, U.S. Coast Guard Hearing on Cruise Industry Oversight: Recent Incidents Show Need for Stronger Focus on Consumer Protection Testimony of Ross A. Klein, Professor, Memorial University of Newfoundland, Canada. Hearing on Cruise Industry Oversight: Recent Incidents Show Need for Stronger Focus on Consumer Protection Testimony of Mark Rosenker, Panel of Experts Member, Line International Association. Hearing on Cruise Industry Oversight: Recent Incidents Show Need for Stronger Focus on Consumer Protection Testimony of Gerald Cahill, President & CEO, Carnival Lines. Hearing on Cruise Industry Oversight: Recent Incidents Show Need for Stronger Focus on Consumer Protection Statement of Adam M. Goldstein, President & CEO, Royal Caribbean International. Hearing on Cruise Industry Oversight: Recent Incidents Show Need for Stronger Focus on Consumer Protection Index.
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 | 0.002 | 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 | 0.003 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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