A soil-based approach on human taphonomy from five Portuguese public cemeteries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the last decade, some Portuguese cemeteries have started to have issues with the lack of burial space, mainly due to the slow rate of cadaveric decomposition, hindering the reuse of soil graves as is common practice. To better understand the influence of soil on human taphonomy and help in cemetery management, the main goal of this research was to explore possible relationships between body decay and edaphic traits. A total of 217 soil samples were collected from graves of five public cemeteries and analysed for their soil organic matter content, moisture, pH, electrical conductivity, bulk density, texture, and colour. Five grave sampling areas were considered: the topsoil, above the coffin, and under the coffin in the head, pelvis and feet areas. Statistically significant differences have been found between the graves of skeletonized and incompletely skeletonized bodies for moisture above the coffin (p = 0.035) and for electrical conductivity in the topsoil (p = 0.014). Although the number of individuals (n = 56) studied might be considered low, this paper explores the possibility that soil itself might not be the main influencer on human taphonomy. A new perspective should be considered regarding the role played by intrinsic factors after death.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it