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Record W1909796763 · doi:10.6000/1929-4409.2015.04.11

The Intricacies Involved in the Analysis and Interpretation of Hammer Transfer Stain/s in a Crime Scene

2015· article· en· W1909796763 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Criminology and Sociology · 2015
Typearticle
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
Fundersnot available
KeywordsInterpretation (philosophy)HammerStainForensic engineeringCriminologyPsychologyMedicineEngineeringPathologyPhilosophyStainingStructural engineeringLinguistics

Abstract

fetched live from OpenAlex

Bloodstain Pattern analysis particularly deals with the reconstruction of dynamic bloodletting events from static bloodstain patterns. Bloodstain patterns often help to sequence events that might have occurred at a crime scene. It can also be used to draw inference about the position of the victim/s, perpetrator/s and bystander/s (if any) at the crime scene. This paper is aimed at intricate analysis/interpretation of transfer stains produced by blunt ended objects at a crime scene. By way of experiments performed within a laboratory setting this paper attempts at establishing that hammer transfer stain or possible weapon transfer stain at a crime scene does not indicate that that particular instrument has been used to murder the victim/s. Also when blood drips over hammer and when a hammer falls under gravity onto a blood pool, the stain patterns formed are particularly different. This particular information under certain circumstances could particularly contribute to sequencing of events at a crime scene. Again, different blunt ended objects were found to produce similar transfer stain patterns. Hence transfer stain patterns should be interpreted in coherence with other relevant circumstantial evidence at the crime scene.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.307
Teacher spread0.265 · 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