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Record W4385957674 · doi:10.1051/e3sconf/202341201057

Medically assisted procreation: A new legal framework to overcome infertility in Morocco in the context of energy optimization

2023· article· en· W4385957674 on OpenAlexaboutno aff
Aziza Ghallam, Leila Bouasria, Hayat Zirari

Bibliographic record

VenueE3S Web of Conferences · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorDirectiveContext (archaeology)Quarter (Canadian coin)Work (physics)ReproductionInfertilityQualitative researchPolitical scienceField (mathematics)LawSociologyMedicineLegislationGeographyEngineeringSocial scienceComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.337
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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