NAVAL SHIP STABILITY GUIDELINES: DEVELOPING A SHARED VISION FOR NAVAL STABILITY ASSESSMENT
Bibliographic record
Abstract
Surface combatants are required to operate in conditions of high military threat and be capable of deployment to any area of conflict or crisis at any time. This requirement calls for the vessel and crew to be capable of safely contending with the full range of environmental conditions that may be encountered while pursuing their primary objective. Achieving and maintaining this capability is strongly influenced by the application of naval stability standards, many of which have a common origin, based on experiences from the World War II and before. Although such standards have apparently served the navies admirably over many years, there are many reasons to question their limitations and applicability in the context of modern ship design and procurement. This paper presents the efforts to date of the Naval Stability Standards Working Group to investigate the relationship between existing intact stability standards and capsize risk with respect to frigate forms.
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 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 | 0.049 | 0.056 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.004 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.007 | 0.012 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".