Mitigating the risk of military personnel becoming unaccounted for on the battlefield: An interview with Stephen Fonseca and Vaughn Rossouw on the ICRC’s Military Personnel Identification Project
Notice bibliographique
Résumé
Stephen Fonseca has been involved in medicolegal death investigation for over twenty-seven years, with a focus on forensic human identification and on education and professional development in forensic investigations and emergency management. He has co-authored several articles on forensic human identification. As a coroner in Canada, he led the development of a provincial forensic identification system to concurrently address recently reported and historical unsolved identification cases and managed the Identification and Disaster Response Unit (IDRU) in British Columbia for eight years. The IDRU was regionally recognized for the implementation of the multidisciplinary Identification Information Management Model, for which Stephen received the Queen Elizabeth II Diamond Jubilee Medal. He joined the International Committee of the Red Cross (ICRC) in 2013, initially working in the Middle East and thereafter supporting authorities primarily in Africa and globally with the implementation of well-functioning medico-legal systems and improvement of forensic identification in peacetime as well as during and after conflict, disasters and migration. He is currently the Head of the ICRC’s African Centre for Medicolegal Systems, a satellite hub of the Central Tracing Agency’s (CTA) Advisory Red Cross and Red Crescent Missing Persons Centre. Stephen leads the ICRC’s global Military Personnel Identification (MPI) Project, working with State armed forces around the world to develop global guidelines and implement measures to reduce the number of military personnel who become unaccounted for. Vaughn Rossouw is an admitted Advocate of the High Court of South Africa. He holds an LLB and an LLM (cum laude) in public international law from the University of Pretoria, specializing in international humanitarian law (IHL) and human rights in military operations. Vaughn joined the ICRC in 2022 as Legal Adviser to the CTA’s African Centre for Medicolegal Systems, advising State authorities and stakeholders in the forensic science services sector on the applicable international and domestic legal frameworks with respect to missing persons and their families, and on the dignified management of the dead in armed conflict and other situations of violence. Vaughn was featured in the Review ’s “Emerging Voices” issue of 2021 and has co-authored publications on transnational investigative approaches to address missing and deceased migrants in Southern Africa together with colleagues at the ICRC Pretoria Regional Delegation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».