An exploration of Canadian young men’s experience of pornography consumption
Bibliographic record
Abstract
With the increasing availability of internet access and internet-enabled devices, internet pornography has become easily accessible and widely available. As a growing number of youths consume pornography, research has steadily increased to examine the effects of consumption in recent years. Extant studies have primarily focused on the harmful effects of pornography consumption using quantitative measures. Young men’s experiences with pornography consumption and their internal processes as consumers remain poorly understood. This study aimed to develop insights into how young men select, interpret, and make use of pornography. This study employed a feminist social constructionism and media practice model as its epistemology and hermeneutic phenomenology as its methodology. Fifteen male-identifying participants aged 18-25 with experience in pornography consumption were recruited. The young men described their pornography experience as way to claim agency in their sexual development in the absence of needed information from schools and families. As well, they described their consumption as being intimately connected to the development and expression of their gender and sexuality. The findings challenge risk-based discourse about pornography and young people and support a reconceptualization of the ways institutions can support young people in their sexual development
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".