ADOPTION LAW, DILEMMAS, ATTITUDES AND BARRIERS TO ADOPTION AMONG INFERTILITY PATIENTS IN ISRAEL.
Bibliographic record
Abstract
INTRODUCTION: Israel Adoption Law requires absolute confidentiality. This type of adoption is basically prohibited by Islamic laws and thus creates a conflict between the State's Law and the Qur'an's directives. OBJECTIVE: (1) to study the attitudes and barriers with respect to adoption among Jewish and Muslim couples undergoing fertility treatments. (2) To describe adoption rates of children in Israel's sectors. METHOD: A cross-sectional survey was conducted in fertility clinics among 204 Muslims and Jews treated for infertility. The participants were asked about their attitudes & knowledge concerning adoption. Additionally, national adoption rates, by sector, were retrieved from the Ministry of Welfare. RESULTS: Adoption rates among Jews were higher than among Muslims'. A prolonged period of fertility treatment was more common among Muslims than among Jews. A quarter of the Muslim couples pointed at the conflict between Quran Law and State law as a potential specific barrier. CONCLUSIONS: It is important to deepen the understanding of the barriers against adoption among Muslims who failed fertility treatments, as well as to examine whether the change in State Law will encourage adoption of children among Muslims in Israel.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".