Bibliographic record
Abstract
In an age of heightened concern over rape culture and sexualization in the media, Amy Adele Hasinoff's (2015) Sexting Panic is one of the most insightful, concise, and necessary works to emerge in recent feminist media studies. In the short, yet comprehensive text, Hasinoff critiques the central contradiction that informs most contemporary policies intended to discourage and/or punish underage sexting: the notion that a teenager can be too young to legally consent to being sexually photographed, but at the same time can be held criminally accountable for creating child pornography of herself. Such policies, like many juridical policies, disproportionately punish the sexuality of queer, trans, racialized, and poor young women (p. 3) whose sexuality is often more closely policed and framed as being transgressive than their male counterparts whose behavior is framed as biologically given. At the same time, the use of child pornography laws as well as discourses about the heightened “sexualization” in the media combine to negate any sense of sexual desire and agency in teenage girls. Hasinoff shows that a key distinction needs to be made between consensual sexual acts—taking into account the ages and age differences of all parties involved—and the sexually violent decision to share images intended for private consumption.
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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 | 0.022 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.105 |
| Scholarly communication | 0.019 | 0.034 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.004 | 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".