Fear of Crime and Criminal Victimization
Bibliographic record
Abstract
Early in 1991, the Criminological Research Institute of Lower Saxony (KFN) was given the task of carrying out a representative German victim survey of persons over 16 years of age. The aim of this survey, entitled »Feeling of Personal Safety, Fear of Crime and Violence and the Experience of Victimization amongst Elderly People«, is to gain knowledge about the extent and the structure of self-reported criminal victimization with special focus on the elderly. The area of intra-family victimization is especially emphasized. Analyzing fear of crime, subjective well-being, and personal feelings of safety with reference to relevant theory is another topic of research. Finally, attitudes towards crime and crime control and public opinion on current criminal justice issues are included within the framework of this survey. In spring 1991, the KFN organized a workshop on these topics with experts from the USA, Canada, Great Britain, Switzerland, and Germany. The revised papers and statements that were discussed during this meeting are summarized in this reader. They range from reports about the authors' own experiences with problems of victim surveys to broad theoretical and methodological reviews.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".