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Record W4392613375 · doi:10.1016/j.fsir.2024.100360

Concrete evidence: Analysis of aggregate and cement in a homicide investigation

2024· article· en· W4392613375 on OpenAlex
Alastair Ruffell, Jennifer McKinley

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueForensic Science International Reports · 2024
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsnot available
FundersQueen's University
KeywordsHomicideAggregate (composite)Forensic engineeringCementCriminologyEngineeringGeotechnical engineeringPsychologyPoison controlMaterials scienceHistoryArchaeologySuicide preventionComposite materialEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

The unusual body deposition site described comprised three elements of concealment: i) a covert stream-based ravine some 60 m from the suspect’s home; ii) partial grave dug into the ravine bank and iii) final concealment using concrete slabs. Disaggregation and sieving of concrete samples from the site, suspect residence(s) and control samples was carried out. These allowed informative exclusion of all but one control sample and provided a range of possible comparisons that may reflect the sequence of concrete slab selection, transport and use in covering the victim. The textures/colours of disaggregated, dried sediment size fractions also proved useful in conveying principles of exclusion to the court and jury at a subsequent murder trial. This work flows from basic (visual) observation of dry, cut blocks, through regular laboratory procedures of thin section work to disaggregation and size separation of aggregate-cement fractions. Graphical presentation of each analysis provided effective communication of geological science during the trial at court, concluding with a verdict of guilty by aggravated murder. • Unusual blend of homicide victim concealment. • Blended approach of basic analyses. • Recommended workflow for similar future work. • Offender activity indicated by sequence of concealment.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.191

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 studies0.0000.000
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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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