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Record W4388232881 · doi:10.1007/978-3-031-15313-6_4

Street Cred and Locker Room Glances

2023· book-chapter· en· W4388232881 on OpenAlexfundno aff
Stephen Amico

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignUniversitetet i BergenUniversity of Alberta
KeywordsForegroundingGender studiesMasculinitySociologyDistancingHuman sexualityPower (physics)Identity (music)AestheticsArtCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Abstract Foregrounding the fetishization of textually represented ‘of-color Others’, the indissoluble links among sex, gender, sexuality, and race are exposed as responsible for the injunction against same-sex desire within the discipline. Surveying the history of whites’ fantastic constructions of these Others’ imagined inherent masculinity and heterosexuality, as well as the exploitation of their cultural production (including music) for the construction of the ethnomusicologist’s own gendered identity, homophobia is shown as concomitant with an unspeakable homoerotic/homophilic desire. Moreover, recent calls within anthropological research to abandon theory-driven distancing between researcher and subject—to instead share in experiential/sensual space—render any acknowledgment of same-sex desire highly dangerous, capable of exposing the precarity of gendered identities as well as the asymmetrical power relationships structuring ethnographic research.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0970.016

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 head0.049
GPT teacher head0.197
Teacher spread0.147 · 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
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
Published2023
Admission routes1
Has abstractyes

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