Accompagner les proches des victimes des attentats de l’aéroport de Zaventem en Belgique : de la trace indiciaire à la trace mémorielle
Bibliographic record
Abstract
Le 22 mars 2016, les policiers du DVI (Disaster Victim Identification) de la police fédérale belge sont mobilisés pour redonner une identité aux 18 personnes décédées dans les attentats de l’aéroport de Bruxelles. Récupération des cadavres sur les lieux et investigation à l’institut médico-légal, entretien avec les proches des personnes signalées disparues et annonce du décès, ces professionnels suivent un protocole international pour apporter la preuve de l’identification et permettre ainsi à la famille de procéder au dernier hommage. S’appuyant sur un corpus d’entretiens, cet article interroge la reconfiguration de l’activité d’identification en contexte d’attentats terroristes sur le territoire national et la porosité des frontières entre le travail sur le corps des victimes décédées et sur les restes humains et la démarche d’accompagnement des familles endeuillées.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".