Childhood Cranial Trauma from a Late Roman and Merovingian Context from Michelet, Lisieux, France
Bibliographic record
Abstract
Abstract The Michelet necropolis in Lisieux, France, dating to the late Roman and Merovingian period, comprises of a large number of well‐preserved subadult remains offering a unique opportunity to better understand childhood trauma in the past. The focus of this study was to determine the amount, type and mechanisms of trauma evidenced in subadults from the 4th–8th century AD, and explore potential circumstances surrounding the trauma. The remains of 109 subadults from the Michelet necropolis were examined for the presence of cranial and post‐cranial trauma. Three individuals exhibited perimortem trauma, one individual had an antemortem cranial injury, and no cases of post‐cranial trauma were identified. Cranial trauma affected 4.1% of children with observable cranial remains (N = 4/97). The children affected were young (2–7 years old), making it unlikely that they would have participated in militaristic activities. Based on the location, morphology and mechanism of injury identified, it is likely that the perimortem injuries sustained by three children were not accidental. The presence of a number of cranial injuries from this site may be related to increased stress in the community related to the decline of the Roman Empire in Gaul, possible raiding barbarian groups during the 4th–5th centuries, or stresses related to the Gallic aristocracy solidifying political powers in northern Gaul during the 5th–7th centuries AD. The consideration and inclusion of childhood trauma in bioarchaeological analyses allows for a more detailed and in‐depth understanding of violence and childhood in the past. Copyright © 2017 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".