Bibliographic record
Abstract
Social media and content-sharing platforms provide new opportunities for the circulation of not only professional and amateur porn productions but also “pornographic self-representation”. This study examines the interactions that occur when male pornographic self-representation is shared in an inclusive space that welcomes both straight and gay men to post dick pics and gaze/comment on them. Focusing on the Reddit forum, Massive Cock, we conducted a discourse analysis of a selection of posts, comments and account profiles collected over a seven-month period. Based on our findings, we contend that Massive is a homosocial space where homoerotic dick gazing reaffirms and disrupts the heterosexual–homosexual binary. Our findings point to an uneven dynamic in which the majority of the posters perform a straight identity, whereas the majority of commenters perform a gay identity. Their comments serve to disrupt hegemonic masculinity and, in turn, create a space that welcomes mostly straight and bi-curious performances of masculinity. Such performances are possible due to recent cultural shift away from homo-hysteria and towards a more inclusive heteromasculinity. Collectively these performances produce an inclusive “fraternity of the cock”, but it is one which maintains a heterocentric focus and function.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".