Sterilization failure, sterilization reversal, and pregnancy after sterilization reversal in Quebec
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: 1). To determine the likelihood of sterilization reversal and of subsequent sterilization after sterilization reversal among men and women and 2). to examine the likelihood of pregnancy after sterilization (contraceptive failure) and of pregnancy after sterilization reversal. METHODS: Payment data from the Quebec provincial health insurance system were obtained for each person undergoing vasectomy or female sterilization from January 1, 1980 to December 31, 1999 and linked through a unique identifying number for each person. Using standard techniques of survival analysis, we computed the cumulative probability of experiencing each of six events. RESULTS: Among women, 0.9% (of 311960) experienced a pregnancy after sterilization, 1.8% (of 321929) obtained a reversal after sterilization, 61% (of 4369) achieved a pregnancy after sterilization reversal and 48% achieved a delivery; 23% (of 4677) obtained a subsequent sterilization after reversal. Among men, 2.4% (of 310827) obtained a reversal after vasectomy and 18% (of 6694) obtained a subsequent vasectomy after reversal. All of these risks were much higher among those in the youngest age groups. CONCLUSION: Sterilization reversal and pregnancy after sterilization are not rare. Relatively high rates of reversal among the youngest age groups suggest a need for better counseling about alternative contraceptive strategies.
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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 | 0.008 |
| 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 | 0.000 |
| 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 it