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Record W2978545757 · doi:10.60082/2817-5069.3391

Book Review: Adultery: Infidelity and the Law, by Deborah L. Rhode

2019· article· en· W2978545757 on OpenAlexvenueno aff
H. H. Bell

Bibliographic record

VenueOsgoode Hall law journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsAdulteryLawArgument (complex analysis)SociologyPolitical sciencePhilosophyBiology

Abstract

fetched live from OpenAlex

Despite being against the actual act of adultery, Deborah Rhode, the Ernest W McFarland Professor of Law and Director of the Center on the Legal Profession at Stanford University, makes a shockingly compelling argument for abolishing all laws that criminalize adultery in America. Rhode has written the first book of its kind—“the first comprehensive account of adultery and its legal consequences in the United States.” Weaving through various scenarios in which pro-adultery law arguments might be made, Rhode concludes that “laws governing adultery have grown more anachronistic.” Upon navigating the first few pages of Rhode’s book, one may prematurely dismiss her thesis; perhaps attributing the argument against punishing adulterers to an author with little respect for longstanding customs and traditions. However, Rhode does in fact take into account various traditionalist views, embraces them, and by the end of the book, convinces readers that notwithstanding the toxic essence of adultery, existing laws that criminalize adultery can be substantially harmful too.

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)0.010
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: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0250.015

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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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