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Record W4308557260 · doi:10.1017/9781009025034.023

Sex for Induction of Labor

2022· book-chapter· en· W4308557260 on OpenAlexaff
Stefania Ronzoni

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsSexual intercourseLabor inductionOxytocinMedicinePsychologyGynecologyEndocrinologyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

The relationship between sexual intercourse and its role in onset of spontaneous labor has been questioned for decades. Intercourse for the induction of labor is regarded by many as a “natural” method for initiating labor. Possible physiological explanations for this include prostaglandin action of sperm, oxytocin production via breast/nipple stimulation, and direct mechanical effect of sex on uterine contractions. This chapter reviews the most current literature on these theories and whether increasing the frequency of sexual intercourse hastens the onset of spontaneous labor. Limitations of the recent literature and internet/social media sources are also highlighted in detail. Other alternative and popularized “natural” methods of inducing labor, such as physical activity, acupuncture, and herbal remedies, are also analyzed. Ultimately, most robust studies reveal there is no evidence to suggest that sex at term has an effect on spontaneous onset of labor or adverse outcomes of pregnancy. Simultaneously, there are no known harmful consequences in engaging in sexual activity for those patients with low-risk pregnancies.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.076
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0760.035

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 head0.048
GPT teacher head0.273
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2022
Admission routes1
Has abstractyes

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