Bibliographic record
Abstract
This article considers the salience of Freud’s account of melancholia – one that points to the constitutive role of loss in subject formation – for understanding the racialization of queer sexuality and its mediation in pornography. Scholars have long and insightfully demonstrated the value of melancholia as an interpretive lens for making sense of the dynamics of racialization in the context of the contradictions of liberalism in the Global North. Taking cues from such work, I seek here to trace how pornography might stage returns to inaugural scenes of repudiated desire, and how it might proffer insight into the specificities of racial melancholia for queers. To illuminate the potential of constitutive loss for thinking about race in queer porn, I turn to the figure of Lim Pei-Hsien, an artist, activist, and porn star with a storied but rarely acknowledged history in Canadian LGBTQ, AIDS, and anti-racist circles. I argue that sustained engagement with Lim’s work positions him as a profoundly and perhaps instructively melancholic figure, one who might productively inform thinking on race, queerness, and pornography, particularly when read through a psychoanalytic lens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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; both teacher heads agree on what is shown here.
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".