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Record W4405644675 · doi:10.1017/thg.2024.34

Tribute to Dr Milton Diamond: Twin Studies of Transsexuality/Twin Research Reviews: Loss of a Twin Brother (Recent Memoir); Oxytocin Adminstration During Twin Delivery; Models of Monochorionic Twinning; Twins’ Brain Responses to Watching Films/Human Interest: Oldest Conjoined Twins Pass Away; Twins Discordant for Child Abuse; Twins Married to Twins; Rare Quadruplet Set Delivered; Questions of Coincidence; Reared-Apart Twin Valedictorians

2024· article· en· W4405644675 on OpenAlexaboutno aff
Nancy L. Segal

Bibliographic record

VenueTwin Research and Human Genetics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsnot available
Fundersnot available
KeywordsTributeTwin studyBrotherCrystal twinningMultiple birthConjoined twinsMedicinePsychologyPsychoanalysisObstetricsArtSociologyBiologyPopulationArt history

Abstract

fetched live from OpenAlex

A tribute to the life and career of Dr Milton Diamond, a leading figure in twin studies of transsexuality and gender identity, is presented. Dr Diamond is famous for revealing the truth about the unsuccessful effort to change a monozygotic male Canadian twin into a female, following accidental ablation of his penis during circumcision. A short summary of recent twin research on human sexuality and transsexuality, focused on Dr Diamond's contributions, is then presented. The tribute and overview are followed by research reviews involving the loss of a twin brother; oxytocin adminstration during twin delivery; models of monochorionic twinning; and twins' brain responses to watching films. The final section of this article covers topics of human interest, including the passing of the world's oldest conjoined twins; twins discordant for child abuse; twins married to twins; the delivery of a rare quadruplet set; questions of coincidence; and reared-apart twin valedictorians.

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)0.014
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
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 head0.205
GPT teacher head0.455
Teacher spread0.249 · 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.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTwin Research and Human GeneticsSame topicHomicide, Infanticide, and Child AbuseFrench-language works237,207