Bibliographic record
Abstract
In this article, I look at the shared experiences of women watching porn in the Republic of Turkey. I analyze the relation of porn consumption to Turkish women's sexual routines and interests. More importantly, I examine the social conditions under which women's porn consumption becomes an outward expression of a ‘new age’ gender mentality. Within this frame, I argue that the wide and relatively anonymous accessibility of porn in online environments has radically altered the circumstances under which female gender identities are materialized. My inquiry proceeds through an ethnographic investigation of women's access to pornographic materials before and after the mass availability of internet services in the Republic of Turkey and through publicly shared online narratives that illustrate Turkish women's motivations for consuming porn and their consequent experiences. I identify motivations for consumption expressed in these online narratives as a necessity for sex-learning; a break from daily routines; an exploration of lesbian fantasies and desires; excitement from observing stigmatized or forbidden sexual practices; and visual pleasures triggered by scenes of men serving as passive sexual objects. I use these categories to analyze the social dynamics behind and beyond women's consumption of pornography in Turkey.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".