‘It’s nice to be appreciated’: Understanding heterosexual men’s engagements with sexting and sharing Dick Pics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper explores heterosexual men’s experiences of sexting with a primary focus on how, when and why men send sexually explicit photos to women. Previous research has focused either on gay and bisexual men’s experiences or considered sexting within a broader youth context. This research considers young men and their engagement with sexting practices and its relationship to how they view and understand their bodies as desirable and sexual. Drawing from work that has called for more reflexive considerations of men’s emotions and sexuality, we explore the processes by which men engage in the practice of sexting (how/where they take photos), the affects that sexting provides (how it makes them feel), their rationale for engaging in the practice (why they do it) and their expectations from partners (e.g. reciprocal photos, partner’s responses). The findings of this paper suggest that while men highlight a range of affects and experiences with sexting, on the whole, it helps boost sexual confidence with partners and create and sustain intimacy, particularly in between seeing (in person) a partner or partners. Our research further suggests that men share similar concerns to women in other studies who are concerned about their photos becoming public, thus revealing a primary reason why this particular population of heterosexual men may not engage in the sending of erotic photos.
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.
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 it