Sadomasochistic erotica and the sexual response cycle: Insights from the Eunuch Archives
Bibliographic record
Abstract
The Eunuch Archive (EA) is a website where registered members can post for others to read and rate sexual fantasies that involve genital mutilation and ablation. The EA includes over 8,000 stories. We have previously explored common features of 100 top-rated EA stories. We reasoned that understanding such fantasies may be a step toward recognizing who is at risk of irreversible injury should they act out their fantasies. Here we explore the top-rated EA stories in the context of well-established models for human sexual response. We argue the archetypal storyline from these fantasies, which are characterized by extreme sadomasochism (SM), can be interpreted and understood within the context of these established sexual response models, but we note several ways the fantasies diverge from such models. The stories closely fit the classic Masters and Johnson model, but with a protracted plateau phase resolved with pleasure and pain heightened. Even though the central character in all the stories is a male, the stories align well with the Basson intimacy-based model more characteristic of female motivations to be sexually active. In the fantasies, the central character is willing to sacrifice everything short of his life to develop or strengthen a dyadic relationship. In all the stories, castration is depicted with a sensory intensity equivalent to orgasm. The stories reveal what is both natural and pathological in extreme SM fantasies. They also reveal similarities between female sexual desire and the desire for genital ablation which has not, to the best of our knowledge, been previously elucidated.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".