Effects of Bans on Prostitution on Prevalence of Induced Abortions
Bibliographic record
Abstract
Background: Prostitutes are at high risk of unintended pregnancy, and induced abortions are widely practised among this cohort.Aims: This study examined the effects of prostitution bans on the prevalence of induced abortions. We focused particularly on the bans on juvenile prostitution, which were introduced by 32 states of Japan between 1975 and 1998.Methods: This was a cross-sectional study employing event-study analyses and a difference-in-difference-in-differences methodology. We compared the changes in numbers of induced abortions before and after the bans were introduced, among women under 20 years of age and among those aged 20―24 years, over states.Results: The number of induced abortions among women under 20 years of age increased after the juvenile prostitution bans were implemented. In the fifth year of implementation, the number increased by 56.79 percentage points (p < 0.001) compared with the previous year.Conclusion: The number of induced abortions among adolescents increased after juvenile prostitution was banned. As to its mechanism, the outcomes of our additional identification suggest that former juvenile prostitutes who retired due to the bans contributed to the increase.
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 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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".