Waarom doen jonge mannen (niet) mee met vragenlijstonderzoek over seksualiteit?:Gendernormen, barrières en motivaties volgens lager opgeleide jonge mannen
Bibliographic record
Abstract
Objective: Lower educated young men appear to be more difficult to reach for participation in sexual health research than women and higher educated men. We examined this group's barriers and motivating factors for participation. Methodology: Semi-structured interviews were conducted between March and July 2022. Participants were approached using convenience sampling. The interviews were deductively, inductively and axially coded using coding software. Results: Participants often come into contact with the subject of sexuality, but do not easily have serious conversations about it. Young men expect low intrinsic motivation from other men to participate in surveys about sexuality. They explain this low motivation by stereotypical character traits of men and a lack of knowledge of or experience with sexuality. Receiving knowledge would be more motivating than a material reward. Trust in the researchers and privacy are crucial for participation. Discussion: Participants viewed themselves as a small minority that would participate in health research. Future research could delve deeper into sociological-anthropological theories to explain differences in participation. Conclusion: Trust and reciprocity in the relationship between researcher and participant are important to increase the participation of lower educated young men. Intangible rewards such as knowledge and altruistic motives can increase participation. Participation can be increased by linking surveys to interventions that promote knowledge and skills. To increase the participation of young, lower educated men in sexuality research, a transformative social approach towards masculinity norms which extends beyond the sphere of influence of individual researchers seems necessary.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".