Limitation to the capacity to love and hypersexual behavior in their relationship with psychoticism and paranoid ideation
Bibliographic record
Abstract
Background: Limitation to the Capacity to Love (CTL) and problematic sexuality could be considered as indicators of psychopathological suffering. Aim: We aimed to investigate the relationship between problematic sexuality, specifically hypersexuality, and the symptom dimensions of psychoticism and paranoid ideation, with a focus on the role of the CTL, in a non-clinical sample. Methods: Through an online platform, we recruited a convenience sample of 521 subjects (390 females and 131 males; age span: 18-50). Outcomes: Recruited subjects completed a psychometric protocol that included completion of the following measurement tools: (1) the Capacity to Love Inventory, (2) the Hypersexual Behavior Inventory, (3) the Brief Symptom Inventory. Results: Results indicated a significant inverse correlation between CTL and both paranoid ideation and psychoticism, with hypersexuality positively correlated with these symptoms. Linear regression analysis revealed that CTL acts as a protective factor, while hypersexuality is a predictive factor for both psychoticism and paranoid ideation. Clinical Implications: The study highlights the importance of evaluating sexual behavior and subclinical symptomatology in non-clinical populations, and it underscores the potential role of CTL as an indicator of relational functioning. Strengths and Limitations: The strength of this research lies undoubtedly in its innovative inclusion of the construct of CTL in studying the relationship between sexuality, paranoid ideation, and psychoticism.However, the research design reveals a gender imbalance that may limit the significance of the findings. Moreover, the study was conducted on a sample primarily composed of students and individuals from Italian cultural backgrounds, which should be considered when generalizing the results. Conclusion: The relationship between the limitation of the CTL, hypersexuality and paranoid ideation and psychoticism (assessed with the SCL-90) sheds light on the importance of integrating the assessment of a central aspect of human life, that is, the CTL, with problematic sexuality and psychopathological symptoms, in the clinical practice of prevention of sexual and psychological problems.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".