PARENTAL OVER-INDEBTEDNESS AND YOUTH CRIME IN SWEDEN: A NATIONWIDE REGISTER-BASED STUDY
Bibliographic record
Abstract
Very little is known about whether a child’s delinquency can be related to a parent’s economic problems in terms of financial indebtedness. This would seem to be an important research gap, not least at a time when the repercussions of the 2008 global financial crisis are still being felt by many people. This study concerned boys and girls born in 2002 who had a parent with a registration date for a debt in the Swedish Enforcement Authority register between 2016 and 2017 (n = 3,284). We determined whether the adolescents had been convicted of a crime during the 3-year period when they were 15 to 17 years old, and compared their records with a sample from the general Swedish population (n = 16,435). Results from logistic regressions show that children who, at age 15 to 17, had a parent with debt problems were approximately one and a half times more likely to be convicted of a crime than children who were unexposed to registered debts of parents (OR = 1.55), irrespective of other well-established criminogenic risk factors observed prior to the parent’s date of registration at the Enforcement Authority. The results provide support for the notion that financial challenges and problems with creditors may be an important proximate risk factor of delinquency.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".