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Record W7034406604

Testing the Organized/Disorganized Model of Sexual Homicide

2015· dissertation· en· W7034406604 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicE-Learning and COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaFusible alloyProteogenomicsDiafiltrationPretext
DOInot available

Abstract

fetched live from OpenAlex

The FBI’s organized/disorganized typology has been used extensively as a tool to classify sexual homicide and develop offender profiles. The classification approach, while ground-breaking and valuable to the field of criminal profiling, has not gone without criticism. It has been critiqued for its lack of empirical evidence, yet few studies have attempted to test its validity. This study examined the organized/disorganized model to determine if support exists for two discrete offender types among a sample of 350 Canadian cases of sexual homicide. Variables related to crime scene characteristics and the offender’s modus operandi were tested using K-means and latent class analyses. Results from both methods suggest that sexual murderers can be separated into two distinct profiles that share similarities with the organized/disorganized dichotomy in terms of the detection avoidance strategies, control and type of violence used by the offender. The latent class results show further support for the FBI model in relation to the offender’s approach, sexual acts, and post-mortem activities.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.272
Teacher spread0.233 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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