The impact of social experiences of physical and structural violence on the growth of African enslaved children recovered from Lagos, Portugal (15th–17th centuries)
Bibliographic record
Abstract
OBJECTIVES: The purpose of this article is to examine the impacts of physical and structural violence on the well-being of early modern enslaved Africans by comparing the growth of children in an archaeological sample recovered from Lagos, Portugal with that of modern children known to have lived under socially oppressive and racist political regimes. MATERIALS AND METHODS: The age of 18 individuals was estimated from the length of developing teeth. Long bone lengths for age in the enslaved African sample were compared with two black juvenile known age samples: the Raymond Dart (South Africa) and Hamann-Todd (United States) collections. Z-scores were calculated for all samples using black children in the South Africa Long Bone (SALB) database as the reference. The similarity of growth across the samples was tested and skeletal growth profiles (SGPs) were devised for the three samples. RESULTS: The children in the Lagos, Raymond Dart, and Hamann-Todd samples were all small for age compared to the SALB reference. While children in the Dart sample tended to be the smallest for age and in the Hamann-Todd the largest, with the children in the Lagos sample falling between them, the three samples did not show significant differences in growth status. DISCUSSION: The growth deficits shown in this study demonstrate the severe impacts of physical and structural violence on the lives of these children. Although uncertainty remains regarding the timing of growth insults relative to arrival, slavery in Portugal as materialized in these individuals was as violent as in other countries.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".