The Criminal Behavior of the Serial Exterminist
as if you needed to read any more… THE CRIMINAL BEHAVIOR OF THE SERIAL RAPIST From 1984 to 1986, FBI Special Agents assigned to theNationalCenterfor the Analysis of Violent Crime (NCAVC) interviewed 41 men who were responsible for raping 837 victims. Previous issues of the FBI Law Enforcement Bulletin provided an introduction to this research (1) and the characteristics of the rapists and their victims. (2) This article, however, describes the behavior of these serial rapists during and following the commission of their sexual assaults. The information presented is applicable only to the men interviewed; it is not intended to be generalized to all men who rape. The Report by Robert R. Hazelwood, M.S. , Special Agent, Behavioral Science Instruction/Research Unit,Quantico,VAgives an excellent insight into the major methods of approach. The one which comes close to fitting a pattern espouse by Dr Jacobs or Anita Schatz is “The Con” The
The Source Summary reproduces the first 150 words of the source article unless a Collective editor has explicitly locked a replacement.
Why this article may matter
Community significance
“The Criminal Behavior of the Serial Exterminist” may matter to community readers because it preserves a first-person or testimonial account connected to science, evidence, and expertise, while also engaging law and civil rights. Such accounts can document how an issue was understood and experienced from within the period or community being discussed.
Historical significance
As a publication record from 2012 at Transadvocate.com, “The Criminal Behavior of the Serial Exterminist” provides dated evidence of how science, evidence, and expertise was being argued in relation to law and civil rights. Comparing it with earlier and later records can reveal changes in vocabulary, evidence, and emphasis.
Policy significance
The article’s strongest policy connection is criminal justice and public safety. It links that institutional frame to science, evidence, and expertise and law and civil rights, making it potentially useful for tracing how an argument moves from description or history into law, regulation, administration, or public practice.
Ranked themes and framings
Rank 1 is the dominant inferred theme or framing. Parent labels identify broader theme families; the relationship diagram distinguishes sub-themes, siblings, overlap, and separate-but-related themes.
Themes
- 1Science, evidence, and expertiseTheme family: Knowledge, history, and communication100%
- 2Law and civil rightsTheme family: Institutions, law, and public life38%
- 3Transgender identity and historyTheme family: Identity, culture, and community28%
- 4Culture, identity, and representationTheme family: Identity, culture, and community19%
- 5Violence, safety, and dehumanizationTheme family: Power, ideology, and social conflict13%
Academic framing
- 1100%
- 219%
- 312%
Policy framing
- 1100%
Editorial function
Source topics
These classifications are inferred from article text and source metadata and remain directly editable. Relationship labels express corpus-analysis judgments, not immutable facts.
How “Science, evidence, and expertise” appears across the Collective corpus
This article was published during the theme’s highest-presence year in the registered corpus (2012).
Relative presence by year
Peak year indexed to 100Presence by member publication
Frequently co-occurring concepts
Academic framings in this topic
Policy framings in this topic
Values measure relative presence in the registered Collective corpus, not public search interest or public opinion.
Sources that reference this article
No individual inbound sources have been stored yet. Counts can still appear when a scholarly index supplies aggregate citation metadata.
Coverage combines internal Collective links, verified Webmentions, curated evidence, supported scholarly indexes, and optional public-web discovery. Search-result candidates remain visibly distinct from directly verified links and provider-confirmed citations. This is not an exhaustive index of the public web or of Google Scholar.
Author profiles and related researchers
Related authors in the Collective corpus
Related authors are calculated from co-authorship, shared themes and framings, and citation relationships in the registered corpus. This does not imply a personal or institutional association.
Continue through the Collective
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