Environmental conditions and bodily decomposition: Implications for long term management of war fatalities and the identification of the dead during the ongoing Ukrainian conflict
Notice bibliographique
Résumé
On 24 February 2022, Russia invaded Ukraine in what they referred to as a ‘special military operation’. Since then, both Russia and Ukraine have incurred heavy losses, though there remains great discrepancy between the deaths reported by both nations. In recent joint international interventions following mass casualty incidents, the majority of operations have been situated within countries in the global south; particularly within nations which do not have the appropriate medico-legal surviving infrastructures to provide the relief required in an emergency situation where high levels of deaths have been incurred. Two examples of this are the Asian Tsunami of 2004 and Haitian earthquake of 2010. The Asian Tsunami of 2004 had an epicentre 200 km west of Sumatra, with the resulting Tsunami impacting on coastal areas of Sri Lanka, Maldives, Indonesia, Malaysia, Thailand and India. It is estimated 227,000 deaths. The Haitian Earthquake 2010 of 7.0 magnitude resulted in death toll of 220,00, while the larger magnitude (7.2) earthquake of 2021 resulted in fewer fatalities of 2000. Both mass fatalities of 2004 and 2010 had considerable, multinational responses, which were challenged by scale, extent, and conditions, and resulted in operational protocols being reviewed. In Ukraine, there are robust forensic infrastructures at local and national levels, with well educated, trained and experienced staff. These infrastructures are connected to international structures such as the International Committee of the Red Cross (ICRC) and International Commission on Missing Persons (ICMP). Despite strong facilities and established procedures in Ukraine at the outset of the conflict, the intensity and nature of the fighting within densely populated areas has resulted in considerable civilian and military fatalities, inevitably this has led to temporary burials conducted during or during a lull in fighting. In areas retaken by Ukraine forces there has been considerable local effort to exhume bodies from temporary graves and to identify the remains using primarily DNA. However, the scale of this activity is disproportionate to the scale of the casualties. \n \nIn this paper, the authors provide an overview of the deaths incurred during the early weeks of the war and will attempt to illustrate the range of variables which will inform the practical response to recover and identify those killed, before they receive their final burial. It will introduce some of the organisations which have provided forensic support and will also identify emerging ethical considerations which should be monitored for the remainder of the conflict.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».