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Record W2298045547

Gender Essentialism and American Law: Why and How to Sever the Connection

2015· article· en· W2298045547 on OpenAlexaboutno aff
Melina Constantine Bell

Bibliographic record

VenueDuke journal of gender law & policy · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
FundersWashington and Lee University
KeywordsTranssexualTransgenderGender dysphoriaGender Identity DisorderPsychologyTransvestismConvictionMedicalizationIdentity (music)EssentialismLaw enforcementMisdemeanorObligationLawLesbianDehumanizationSocial psychologyCriminologyPsychiatrySociologyGender identityGender studiesPsychoanalysisPolitical science
DOInot available

Abstract

fetched live from OpenAlex

American law presumes that all persons are born either female or male, and rests a surprising number of legal entitlements on this presumption. Persons’ legal rights to express their identity at work, to use public accommodations, and to retain legal parenthood status with respect to their children may all depend on whether they are female or male. Yet we, as individuals, generally have no choice regarding whether we are legally designated female or male, just as people had no choice as to whether they were designated “colored” or “white” under past racial discrimination schemes. The American legal system plays a significant role in the construction, maintenance, and coercive enforcement of the binary gender system that requires people to conform their identities in distorting ways to be included politically. By sustaining the gender system, legal institutions unnecessarily undermine human well-being, and unjustly and disrespectfully constrain individual liberty. The United States and state governments should re-examine laws that use sex or gender as a category by adapting the Law Commission of Canada’s methodology in Beyond Conjugality. In this fashion, American law can begin to move gradually away from the creation, maintenance, and enforcement of the gender system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.335
Teacher spread0.281 · 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.

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
Published2015
Admission routes1
Has abstractyes

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