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Record W4386838113 · doi:10.1111/1468-0424.12733

Trans misogyny in the colonial archive: Re‐membering trans feminine life and death in New Spain, 1604–1821

2023· article· en· W4386838113 on OpenAlexaff
Jamey Jesperson

Bibliographic record

VenueGender & History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsColonialismFemininityIndigenousHistoryExtant taxonLiteratureGender studiesSubject (documents)ScholarshipSociologyGenealogyArtArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract Traces of trans feminine pasts are scattered all across the colonial archive. In New Spain, glimpses of Indigenous trans women's lives can be found in the records of conquistadors as early as the sixteenth century. While such early colonial representations of trans femininity span myriad religious, imperial and literary contexts, they are all underpinned by one harrowing reality: the widespread, colonial pursuit of trans feminine death. To ‘re‐member’ – á la Saylesh Wesley – trans feminine pasts in the colonial archive, this article traces structures of, and resistance to, colonial trans misogyny in the sodomy criminal trials of Mexico (1604–1771) and the Catholic missions of California (1769–1821). Pushing against an extant ‘cistoriography’ that has simply archived these stories within the history of sexuality, I ask: What may be gleaned by centring trans femininity and womanhood as core to not only the lives of historical subjects, but the reason many of their lives were so violently taken? By re‐membering trans misogyny in this way, we may finally name and centre the long‐erased trans feminine historical subject, illuminate the complex, changing structures of her past worlds and trace the oft‐forgotten lineages of not just trans feminine death, but trans feminine survivance in its face.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.078
GPT teacher head0.304
Teacher spread0.226 · 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 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
Published2023
Admission routes1
Has abstractyes

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