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Record W4386251544 · doi:10.1177/13634607231199407

The spectre of docking in circumcision debates

2023· article· en· W4386251544 on OpenAlexaff
Jonathan A. Allan

Bibliographic record

VenueSexualities · 2023
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsBrandon University
Fundersnot available
KeywordsForeskinDocking (animal)GlansHuman sexualityMale circumcisionSociologyGender studiesPenisMedicineBiologyHealth servicesSurgeryPopulation

Abstract

fetched live from OpenAlex

This articles considers the ongoing penile circumcision debates by focusing on the deployment of ‘docking,’ a sexual practice between men. Docking involves pulling one’s foreskin over the glans of another penis. In this article, I consider both “anti” and “pro” circumcision literature and the use of docking in the service of arguments about the procedure. I show that the use of docking can be traced to Daniel M. Harrison’s article “Rethinking Circumcision and Sexuality in the United States” published in Sexualities. Ultimately, I argue that while docking is interesting to consider, it remains something of spectre that haunts the debates more than it is an empirical concern. Consequently, I argue that further study is needed about docking in general, as well as in the particular context of circumcision debates.

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)0.025
metaresearch head score (Gemma)0.026
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0210.090
Scholarly communication0.0200.020
Open science0.0020.015
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0040.001

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 head0.033
GPT teacher head0.360
Teacher spread0.327 · 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
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
Published2023
Admission routes1
Has abstractyes

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