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Record W4389541550 · doi:10.1111/amet.13231

A queer footnote

2023· article· en· W4389541550 on OpenAlexaff
Benjamin Hegarty

Bibliographic record

VenueAmerican Ethnologist · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsQueerBiopowerCriminalizationSociologyEthnographyGender studiesState (computer science)CriminologyPolitical scienceAnthropologyLawPolitics

Abstract

fetched live from OpenAlex

Abstract Anthropological accounts of sexual and gendered difference often serve the role of footnotes that buttress and even expand the reach of Euro‐American concepts. In contrast to this contained role for anthropology, queer footnotes can push the discipline toward more capacious and experimental engagements with powerful knowledge. In 2020, governments around the world introduced lockdowns and border‐control measures in response to the COVID‐19 pandemic. This was the case in Australia, where I undertook fieldwork with trans‐ and queer Indonesians living in Melbourne. In Australia, COVID‐19 public health measures paralleled and exacerbated migration restrictions on people living with HIV and the criminalization of sex work. Asian, queer, trans‐, and sex worker bodies were addressed as a moral and physiological contagion. Queer anthropology is good for maintaining a critical ethnographic focus on how the state governs through a racial biopolitics of containment, and generates concepts for public health that shift the focus from security to care.

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)0.007
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: Commentary · Consensus signal: none
Teacher disagreement score0.102
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.006
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.1020.011

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 head0.063
GPT teacher head0.404
Teacher spread0.341 · 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
GenreCommentary

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

Citations1
Published2023
Admission routes1
Has abstractyes

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