Bibliographic record
Abstract
COSPAS-SARSAT is an international satellite system designed to assist search and rescue operations using distress beacons operating on 121.5 MHz or 406 MHz and providing alert and location data to rescue coordination centres (RCCs). The system objective is to serve all organizations in the world with responsibility for search and rescue (SAR) operations, whether at sea, in the air, or on land. The COSPAS-SARSAT system was jointly developed and established by Russia (formerly the USSR), USA, Canada and France. The cooperation of the countries involved proceeded under the Memorandum of Understanding, signed in 1979. Following extensive testing and operation, an "International COSPAS-SARSAT Programme Agreement" was signed on 1 July 1988 in Paris by the governments of Russia, USA, Canada and France. This agreement established a framework for long-term operation of the system. The COSPAS-SARSAT system is used by all member states of the International Maritime Organization and the International Civil Aviation Organization. By May 1998 26 countries and/or competent organizations had officially joined the COSPAS-SARSAT programme.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.034 |
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".