MétaCan
Menu
← Back to cohort
Record W7132859305

Behind Closed Doors: An Osteological Analysis of Intimate Partner Violence

2024· dissertation· W7132859305 on OpenAlexaff
Sheryl Anne Spigelski

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOsteologyDomestic violencePoison controlForensic anthropologyHomicideInjury prevention
DOInot available

Abstract

fetched live from OpenAlex

With an estimated one in three women surviving at least one episode of Intimate Partner Violence (IPV), IPV remains a global issue that disproportionately affects women. While IPV is extensively documented in modern clinical research, detecting skeletal evidence of IPV is challenging. This three-paper thesis addressed the need for a standardized approach to evaluate and recognize skeletal evidence of IPV. Paper One created an osteological protocol for recognizing potential survivors of IPV by systematically scoring skeletal fractures in the areas most often affected during IPV, i.e., the face, chest, and forearms. Paper Two tested the specificity of the new Spigelski and Rogers IPV scoring system, by comparing expected IPV patterning with trauma ascribed to collective violence, i.e., warfare and ritualized combat. Bioarchaeological fracture data was obtained through previously published literature on skeletal samples from the Yucatan (n = 20), Peru (n = 7), and Chili (n = 6). The recorded fractures from the samples were scored and weighted, and the values were used to assess whether IPV patterning was detectable. The threshold values were then compared to a forensic case study involving a domestic homicide victim, with prior documented IPV experiences. Paper Two demonstrated that the fracture patterning associated with IPV differs significantly from trauma patterning associated with warfare and ritualized violence. Paper Three tested whether observed fracture patterning in an adult female sample (n = 59) from the Luís Lopes Skeletal Collection were consistent with IPV patterns, using the Spigelski and Rogers IPV scoring system. Following the observance of healing, bone involvement, and fracture location, six of the 59 females (10%) met the scoring threshold set by the methodology to detect fracture patterning consistent with IPV. This research also highlighted a high prevalence of infraorbital suture(s) within the Luís Lopes sample, a non-metric trait that can be misinterpreted as trauma fracture line(s). Therefore, following the development of a standardized methodology to detect IPV, this thesis has demonstrated that the Spigelski and Rogers IPV scoring system is specific enough to distinguish between IPV and collective violence skeletal fracture patterning, as well as detect potential survivors of IPV in skeletal populations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.376
Teacher spread0.337 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTSpace→Same topicForensic Anthropology and Bioarchaeology Studies→French-language works237,207→