Cold Careers and Occupational Hazards: The Occupational Preferences of Canadian Serial Killers
Bibliographic record
Abstract
Serial killing is a dark and complex phenomenon. As researchers have begun to recognize that serial killing exists and interacts within a broad modern context, how these factors affect its occurrence has received more attention. This includes serial killers’ occupational preferences and the influence that occupations have on their offending. However, studies on serial killers’ occupational preferences have been limited to the United States and the United Kingdom. This thesis sought to classify the occupational preferences of 36 Canadian serial killers and subsequently analyze how these occupations may have influenced their offending, both instrumentally and psychologically. According to Canada’s 2016 National Occupational Classification, Canadian serial killers preferred occupations in “Management occupations,” “Sales and services occupations,” and “Trades, transports and equipment operators and related occupations.” Using content analysis on biographical cases of Canadian serial killers, it was proposed that these work environments were the most preferred since they contained occupational elements advantageous for their offending. Specifically, the freedom of movements—typically through a vehicle—the lack of supervision, and the provision of solitude. Hence, Canadian serial killers’ offending was shown to be influenced by a lesser-known contemporary lifestyle factor: occupation. This thesis adds to the greatly under-developed literature on serial killers’ occupational preferences and encourages further exploration for both research and application.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".