Decomposition Rates and Taphonomic Changes Associated with the Estimation of Time Since Death in a Summer Climate: A Case Study from Urban Nova Scotia
Bibliographic record
Abstract
Estimating time since death has an integral role in missing persons and found human remains cases; therefore, it is necessary to understand decomposition rates and taphonomic changes for the environment in which a body is found. Most research related to rates of human decomposition has been conducted in environments that do not reflect the temperate climate of Nova Scotia, Canada. The lower temperatures slow the decomposition processes and taphonomic changers, thus increasing the apparent postmortem interval. A pilot project was carried out in an urban Nova Scotia environment. It examined the decomposition rates of four domestic pigs (Sus scrofa) deposited on the ground surface and allowed to decompose naturally. Results from this study indicate that skeletonization begins between days 64 and 80 and that the rate of decomposition occurs logarithmically. The slower decomposition rates, present in this climate, indicate the necessity of regional data to assist in forensic investigations.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".