Medically assisted procreation: A new legal framework to overcome infertility in Morocco in the context of energy optimization
Bibliographic record
Abstract
After more than a quarter of a century of the practice of medically assisted procreation (MAP) in Morocco in the absence of a legal framework, the Moroccan legislator passed Law 47-14, in April 2019, to make up for the considerable delay in the field of medically assisted procreation. Through this research work, we aim to explore the field of application of this law and demonstrate its contributions to the lives of couples aspiring to motherhood and fatherhood in order to achieve their parenthood project within the couple. From a methodological point of view, this research is based on the qualitative analysis of semi-directive interviews conducted with infertile couples having recourse to (AMP) and practitioners of this medical technique. One of the key findings of this work is that there are major differences between the provision of medically assisted reproduction services in the public and private sectors, and between insured and uninsured couples.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".