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Centring Intersex: Global and Local Dimensions

2024· book· en· W4405332376 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCentringEngineeringStructural engineering

Abstract

fetched live from OpenAlex

The Special Issue Centring Intersex: Global and Local Dimensions highlights the growing body of international work in intersex studies, an interdisciplinary field that critically examines societal norms, medical practices, legal premises, and cultural assumptions surrounding variations of sex characteristics (VSCs). Moving beyond medical definitions, the articles in this Special Issue address social, cultural, and political issues faced by intersex people and people with VSCs, including systemic oppression, discrimination, and human rights violations. The articles in the Special Issue were developed from presentations at the international online conference Centring Intersex Issues: Global and Local Dimensions, held on 2023 February 2023. The conference aimed to create a platform that moved beyond Anglophone and Eurocentric narratives, emphasizing a more inclusive and diverse global perspective on intersex issues. The Special Issue emphasizes the need for a global perspective, critiquing neo-colonial medical practices and advocating for non-pathologizingcal understandings of intersex experiences. Several articles in this Special Issue highlight the importance of co-producing knowledge between intersex and endosex people. They explore global issues such as medical interventions on minors, along with legal and ethical strategies, while addressing local contexts in countries like Aotearoa New Zealand, Australia, Canada, France, Greece, Ireland, Malta, Mexico, and Latin America.

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 score0.095
Threshold uncertainty score0.553

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 head0.008
GPT teacher head0.250
Teacher spread0.242 · 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
Published2024
Admission routes1
Has abstractyes

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