MétaCan
Menu
Back to cohort
Record W1919644503 · doi:10.1002/jip.1394

Healthcare Serial Killers as Confidence Men

2013· article· en· W1919644503 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Investigative Psychology and Offender Profiling · 2013
Typearticle
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsOntario Tech UniversityUniversity of Waterloo
Fundersnot available
KeywordsHomicideHealth careWarrantExtant taxonCriminologyPsychologySample (material)Evasion (ethics)Social psychologySuicide preventionMedicinePoison controlPolitical scienceMedical emergencyLawBusiness

Abstract

fetched live from OpenAlex

Abstract Although there is adequate coverage of serial murder in the extant homicide literature, there is a lack of systematic examination of healthcare professionals who serially murder their patients. Using a sample of 58 healthcare serial killers located within North America, South America, and Europe between the years of 1970 and 2010, this study examines notable pre‐offense and post‐offense behaviours of healthcare serial killers. Patterns related to offender aetiology, victim cultivation, crime scene behaviour, and techniques of evasion were explored. The findings from this study suggest that the pre‐offense and post‐offense behaviours of healthcare serial killers can be conceptualised from the theoretical framework of confidence men or ‘con men’. The findings from this study also suggest that healthcare serial killings and offenders who perpetrate them continue to be elusive and warrant additional scholarly attention to reduce their likelihood of engaging in homicide undetected for extended time. Policy implications are also discussed. Copyright © 2013 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.475
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.095
GPT teacher head0.349
Teacher spread0.254 · 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