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Record W7083319652 · doi:10.3233/scc-2002-290

Cospas‐Sarsat: An international satellite system for search and rescue

2002· article· en· W7083319652 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpace Communications · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsSatellite systemSearch and rescueSatelliteCommunications satelliteDistressService (business)Global Positioning System

Abstract

fetched live from OpenAlex

This paper describes an existing worldwide satellite system – Cospas‐Sarsat – that provides the valuable, humanitarian service of pinpointing the locations of disaster survivors. The system demonstrates international cooperation in space and is used in many applications. This system is unique in the way that it is funded and operated, while its use remains free of charge to the end‐user in distress. Cospas‐Sarsat, an international satellite system for search and rescue, began operations in 1982, and has been credited with saving thousands of lives since then. Hundreds of thousands of aviators, mariners and land users worldwide are equipped with Cospas‐Sarsat distress beacons, which could help save their lives in emergency situations anywhere in the world. This paper outlines system design and operation. Cospas‐Sarsat satellites provide global coverage searching for user distress signals. Tracking stations on six continents receive the satellite‐relayed distress signals, compute the locations of the distress events and initiate calls for help to the appropriate rescue authorities. The paper presents the evolution, current status and future plans of the system and describes some real distress cases where it helped save lives.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.107
GPT teacher head0.276
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it