Masculinity, Mental Health, and Desire for Social Support Among Male Cancer and Infertility Patients
Bibliographic record
Abstract
By surveying men who are currently infertile ( N = 251) and men who are potentially infertile (i.e., men with cancer; N = 195), the mental health consequences of reproductive masculinity, or the cultural assumption that men are virile and should be fathers, were investigated. There was no difference in depression levels between these two groups when controlling for demographic variables, suggesting that both groups of men have similar mental health needs. Since gendered notions of masculinity also suggest that men do not want to discuss their fertility health, their desire for online fertility-related social support was assessed. These findings suggest that most men do want to talk to others about fertility, which indicates that there is a need for more fertility-related social support. This research challenges some conceptions regarding masculinity, as men revealed an interest in accessing online social support related to fertility.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".