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Intersex Movement

2016· other· en· W4233921528 on OpenAlexaff
Catherine Clune‐Taylor

Bibliographic record

VenueThe Wiley Blackwell Encyclopedia of Gender and Sexuality Studies · 2016
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQueerPoliticsGender studiesDisorders of sex developmentShameStigma (botany)Political scienceSociologyCriminologyLawPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

The intersex movement refers to work undertaken by various organizations and individuals in the Global North from 1993 to the present to publicize the existence of intersex conditions (and intersex bodies) and to critique both their pathologization and their traditional medical management in infants and children. Activists attacked the generally secretive and unexplained submission of infants and children with intersex conditions to physiologically unnecessary, experimental medical interventions such as genital normalizing surgeries and gonadectomies without their consent that left individuals sterile, and, often, with impaired sexual function and a deep sense of shame. This movement was dominated for many years by the US‐based Intersex Society of North America (ISNA), founded by intersex activist Cheryl Chase/Bo Laurent. However, following the group's controversial endorsement of the 2006 reclassification of intersex conditions as “disorders of sex development” (DSDs) and its practical and political transformation from an activist organization engaged in a queer identity politics to an apolitical medical lobby group, the Accord Alliance, in 2008, the movement has continued through the efforts of an array of international online‐based organizations of varying politics and approaches, such as Intersex Initiative Portland, Bodies Like Ours, Organisation Intersex International, and Advocates for Informed Choice.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.125
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.027
GPT teacher head0.312
Teacher spread0.284 · 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
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
Published2016
Admission routes1
Has abstractyes

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