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Record W4411194752 · doi:10.1080/00085030.2025.2516863

Forensic taphonomy, porcine analogues, and stable isotopes: changes in pig skin and muscle <i>δ</i> <sup>13</sup> C &amp; <i>δ</i> <sup>15</sup> N during the early post-mortem interval in Atlantic Canada

2025· article· en· W4411194752 on OpenAlexaffvenueabout
Kelly L. Miles, Victoria E. Gibbon, Brian Hayden

Bibliographic record

VenueCanadian Society of Forensic Science Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTaphonomyIsotopeInterval (graph theory)AnatomyBiologyPhysicsNuclear physicsPaleontologyCombinatoricsMathematics

Abstract

fetched live from OpenAlex

This study aimed to provide preliminary regionally-specific taphonomic data in Atlantic Canada using porcine analogues. Six adult porcine analogues were left outdoors to decompose naturally in late summer, sampled every three days to measure δ13C and δ15N in both skin and muscle over a total of twelve days. Over the course of the study, as porcine analogues transitioned through the fresh, bloat, and active decay stages of decomposition, δ15Nmuscle became enriched from a mean starting value of 4.1‰, first detectable at day-6 in the bloat phase by a mean change of ∼0.5‰. No such enrichments were found in δ15Nskin, δ13Cskin, or δ13Cmuscle. This snapshot-in-time study provides important preliminary evidence that porcine muscle tissues become enriched in δ15N as decomposition progresses and is detectable in the very early post-mortem interval. Future research can expand these findings to further elucidate the potential of stable isotopes as a quantifier of post-mortem interval in humans, and further taphonomic research in the under-studied region of Atlantic Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.199
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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