MétaCan
Menu
Back to cohort
Record W4412691658 · doi:10.63682/jns.v14i32s.8501

Surrogacy Explored: The Impact on Carriers and Their Experiences Internationally

2025· article· en· W4412691658 on OpenAlexaboutno aff
M. Aslam, Uday Veer Singh

Bibliographic record

VenueJournal of Neonatal Surgery · 2025
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEnvironmental planningEnvironmental science

Abstract

fetched live from OpenAlex

Surrogacy is an essential fertility intervention for persons encountering medical issues or infertility, including same-sex couples and single males. This study examines the psychological, physical, and socio-cultural aspects of surrogacy in several worldwide contexts, including the United Kingdom, Canada, the United States, and India. The study contrasts altruistic and commercial surrogacy models, emphasizing the emotional and mental health outcomes of surrogate mothers and exposing differences shaped by cultural, legal, and financial variables. Significant studies reveal that surrogacy experiences can be advantageous, as numerous surrogates sustain rewarding connections with intended parents; nonetheless, challenges such as stigma, mental health hazards, and exploitation remain prevalent. The document examines the ramifications for infants conceived through surrogacy, focusing on birth outcomes and possible psychological effects. This comparative analysis recommends for enhanced laws and support systems for surrogates, highlighting the necessity for complete legal frameworks that protect their rights and welfare.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Neonatal SurgerySame topicTransportation and Mobility InnovationsFrench-language works237,207