The New Inspection Regime of the Paris Mou on Port State Control: Improvement of the System
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
After the Amoco Cadiz ecological disaster in France, in 1978, the Paris Memorandum of Understanding (PMoU) on Port State Control (PSC) was created. The purpose of this harmonized inspection system is to prevent substandard ships that present high risk from sailing to European and Canadian N. Atlantic ports and anchorages. The existence of many substandard ships is a well-known fact and they sail not only in European waters but all over the world; most of these substandard ships are registered in states that are very permissive in respect of regulations of design, construction, equipment, safety, working conditions, etc. The original objective of the PMoU was for each member country to inspect individually 25% of all the foreign merchant ships which enter its ports (specified MoU Ports) to identify the degree of risk. The original inspection regime of this system is going to be replaced by a New Inspection Regime (NIR), agreed in 2009. With this NIR, the PSC Committee aims to inspect all ships, i.e. the inspections will rise from 25% to 100% of foreign ships entering these ports. This New Inspection Regime would classify the ships according to thr ee categories based on the level of risk associated with the ship revealed by the inspection; once classified, that particular ship would be subjected to more or less frequent inspections. This article will focus on two aspects. The first is how this NIR is going to be implemented; that is, what are the techniques and measures that the PMoU countries are going to bring into operation before 1st January 2011. The second is to contribute to improving this NIR. Any complex new convention and procedures are bound to have mistakes, flaws and weak points, therefore the corresponding documents are to be amended by new annexes shortly to be published.
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 | 0.004 | 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 | 0.001 |
| 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