Measurement of victim empathy in intrafamilial and extrafamilial child molesters using the child molester empathy measurement (CMEM)
Bibliographic record
Abstract
Although it is widely believed that child molesters are deficient in empathy, there is little unequivocal evidence supporting this view. The present paper explores the issue of whether Australian adult child molesters are deficient in empathy relative to adult male members of the general community, using the Child Molester Empathy Measure (CMEM). This measure was designed specifically for the assessment of victim empathy in child molesters and has previously been used only with Canadian extrafamilial offenders. The present research extends the previous study by contrasting the empathy responses of 11 intrafamilial and 14 extrafamilial child molesters. The results challenge the notion that child molesters have either a generalised or victim-specific empathy deficit. Findings are discussed in terms of the use of the CMEM as an instrument that can reliably distinguish child molesters from nonoffenders, methodological issues, and directions for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".