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Record W4390014328 · doi:10.1111/1467-8322.12844

<i>Complexities of gender and sex</i>

2023· article· en· W4390014328 on OpenAlexaboutno aff
Roger N. Lancaster, Jonathan Marks, Anne Fausto‐Sterling, Agustín Fuentes

Bibliographic record

VenueAnthropology Today · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsConstruct (python library)SociologyDiversity (politics)FeminismGender studiesBiological sexGender diversityTransgenderEpistemologyAnthropologyPsychologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

This editorial reflects on the controversy at the American Anthropological Association and the Canadian Anthropology Society's conference, where a session on the fixity of biological sex was cancelled. Retracing developments from Simone de Beauvoir's foundational ideas to the theories of second‐wave feminism it emphasizes how the gender concept was posed as a dynamic cultural construct. rather than a fixed biological fate, then shows that biological sex is also more complex than earlier characterizations of it as given, fixed, and immutable. Underscoring the complexities of academic debate and inclusivity, the piece highlights anthropologists’ work in revealing gender diversity and spotlights the role of young LGBTQI researchers in reshaping our concepts of sex and gender, which have moved from fixed binaries to a more fluid understanding in contemporary thought. The editorial concludes with a call for an integrated, non‐dichotomous approach to (cultural) gender and (biological) sex, a nuanced understanding that recognizes their interplay.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0110.007
Open science0.0020.003
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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
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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueAnthropology TodaySame topicRace, Genetics, and SocietyFrench-language works237,207