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Record W4255882291 · doi:10.1002/9781119129875.ch18

Circumcision

2018· other· en· W4255882291 on OpenAlexaff
Roderick Clark, Sumit Davé

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsMale circumcisionPreputial glandMedicineFemale circumcisionGynecologyEnvironmental healthSurgeryHealth servicesPopulation

Abstract

fetched live from OpenAlex

Male circumcision (MC) is the oldest planned operative procedure in the history of human civilization. This chapter focuses on whether a relatively minor surgical procedure, with minimal risk of complications and consented to by parents when performed in the neonatal period, should be adopted universally as a public health measure. Neonatal MC rates are declining across several countries, reflecting changing demographic patterns and parental beliefs. This chapter is directed towards health policy makers, medical practitioners, parents and their children, and adult males to allow them to make an informed decision about the benefits of MC. A decreased risk of urinary tract infection (UTI) is believed to be one of the primary benefits of neonatal MC. Circumcision can theoretically prevent UTIs, by reducing periurethral bacterial colonization secondary to reduced adherence of bacteria to keratinized surfaces, and by removing the growth-promoting moist preputial environment.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.946
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0540.012

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 head0.018
GPT teacher head0.333
Teacher spread0.315 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same topicGenital Health and DiseaseFrench-language works237,207