Bibliographic record
Abstract
Le comportement sexuel et le niveau de plaisir associé aux activités sexuelles furent évalués en utilisant l'inventaire des comportements sexuels chez 119 hommes et femmes âgés de 19 à 48 ans et chez 172 femmes et hommes âgés de 52 à 75 ans. Une première analyse du répertoire sexuel montre que les activités sexuelles les plus fréquemment pratiquées chez les deux groupes sont très différentes. De plus, l'étendue du répertoire du groupe plus jeune fut significativement supérieure lorsqu'on le compare à celui des sujets plus âgés. Concernant le niveau de plaisir associé avec les activités sexuelles, les femmes plus jeunes rapportent un niveau significativement plus élevé de plaisir que les plus âgées. Cependant, le niveau de plaisir n'est pas significativement différent chez les hommes jeunes et plus âgés. The sexual behavior repertoire and the level of pleasure associated with sexual activities were evaluated using the Sexual Behavior Inventory in 119 men and women aged 19 to 48 and in 172 men and women aged 52 to 75. A first analysis of the sexual behavior repertoire showed that the most frequently practiced sexual activities by both groups were quite different in nature. Moreover, the extent of the sexual behavior repertoire of the younger group was significantly superior to the one declared by the older group. Regarding the level of pleasure associated with sexual activities, younger women reported a significantly higher level of pleasure than their older counterparts. However, the level of pleasure was not significantly different between the younger and older men.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".