Bibliographic record
Abstract
The growth of queer digital spaces that offer queer men of colour the ability to find each other for sex and dating has produced a set of challenges for researchers. While these spaces are seen as significant for opening up new erotic sites, they are simultaneously mired by erotic practices rooted in racism. This dissertation asks, what significant ways do racial differences play a role in queer men of colour’s erotic lives, particularly in the digital era, and what kind of agency do queer men of colour practice in regard to erotic racism? I argue that despite evidence of increasing racism in digital spaces, queer men of colour continue to navigate, (re)shape and participate in online discourses including even those considered ideologically problematic. My project undertakes an in-depth study of the practices and experiences of queer men of colour to better understand how racial difference and configurations of neoliberalism shape queer men of colour’s intimate lives. Based on interview data, this dissertation demonstrates that many queer men of colour, including those who see themselves as anti-racist, are often erotically attached to what I characterize as racial and neoliberal economies of desirability. Racial and neoliberal economies of desirability refer to preferences for particular forms of (economic and cultural) capital rooted within white middle-class ideals. This dissertation focuses on racism within quotidian (erotic) practices in order to understand the depth through which racial difference organizes our intimate lives. My analysis builds from the theoretical framework of queer of colo(u)r critique to explore how queer erotic lives are sutured to intersecting configurations of gender, sexuality, race, capital, nation and disability/normalcy. Extending queer of colour critique theorizations of power differentials between differently racialized groups and within each community of colour, I theorize eroticized power relations that exist between queer men of colour. My research underscores that queer men of colour’s erotic attachments often align with sexual and gendered racial discourses while they are simultaneously committed to anti-racist and often feminist politics. By underscoring this point, this research provides new ways of understanding queer subjectivities as vexing and contradictory, because in reality there are no ‘perfectly’ non-racist subjects.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.050 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".