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Record W3107829273 · doi:10.28968/cftt.v6i2.34505

Resisting and Remaking Sex in the Petri Dish, the Clinic, and on the Track

2020· article· en· W3107829273 on OpenAlexaff
Madeleine Pape, J.R. Latham, Katrina Karkazis, Stacey A. Ritz

Bibliographic record

VenueCatalyst Feminism Theory Technoscience · 2020
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEmbodied cognitionDimension (graph theory)SociologyOrder (exchange)Gender studiesTrack (disk drive)EpistemologyEngineeringBusiness

Abstract

fetched live from OpenAlex

Assemblages of sex are continuously being enacted by policymakers, scientists, and medical providers across a range of settings, resulting in multiple and often contradictory notions of what “sex” is and how it is expressed in the body. As feminist scholars have shown, such enactments are mutable yet resilient, often with the net effect of restricting how “sex” can emerge as a material dimension of our embodied, lived experiences. What happens when feminist scholars seek to intervene in order to promote more complex, entangled, dynamic, and just enactments of “sex” in policy and practice? This lab meeting gathers interdisciplinary scholars to reflect on their experiences of pursuing change in the laboratory, the gender clinic, and on the athletics track.

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)0.020
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0280.072
Scholarly communication0.0210.010
Open science0.0020.020
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0120.002

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 head0.095
GPT teacher head0.339
Teacher spread0.244 · 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.

Study designQualitative
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

Citations11
Published2020
Admission routes1
Has abstractyes

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