Bibliographic record
Abstract
Queer musicology is a field dedicated to the study of sexual and gender diversity as it relates to music. This may focus on people who identify with a specific minority group, such as lesbian, gay, bisexual, transgender, or queer (LGBTQ). It may explore a sense of fluidity in the face of identity categories or binary thinking. It may seek to understand underlying cultural habits, regulatory systems, or gendered discourses that affect all people in a society. In other words, queer musicology raises a big tent, making room for multiple, even contradictory approaches (identitarian versus anti-identitarian, minoritarian versus universalist). Taking cues from feminist studies and following a critical turn in the 1980s toward the social, personal, and embodied dimensions of music, its original practitioners were motivated by a desire to remedy longstanding heteronormative practices in the discipline. Just as in the wider humanities, where gay and lesbian studies paved the way for queer theory and then transgender studies, there has been a continuous evolution of the field’s burning questions and representative voices. Important intellectual projects include historical reconstruction of suppressed life stories, the study of social groups, hermeneutics, aesthetics, and the theoretical exploration of music’s role in queer forms of knowledge.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.026 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".