Discrimination, Internalized Homonegativity, and Attitudes Toward Children of Same‐Sex Parents: Can Secure Attachment Buffer Against Stigma Internalization?
Bibliographic record
Abstract
With increasing numbers of same-sex couples raising children in the United States, discriminatory attitudes toward children of same-sex parents (ACSSP) are of increasing concern. As with other forms of stigma and discrimination, lesbian, gay, and bisexual (LGB) individuals are at risk for internalizing these societal attitudes, which can negatively affect parenting-related decisions and behaviors and the mental and physical health of their children. Secure attachment is characterized by positive views of the self as loveable and worthy of care that are understood to develop in early relationships with caregivers. Secure attachment has been associated with positive mental and physical health, including among LGB individuals and couples. This study aimed to test the potential buffering role of secure attachment against stigma internalization by examining associations among secure attachment, discrimination, internalized homonegativity (IH), and ACSSP in an online survey study of 209 U.S. adults in same-sex relationships. Bootstrap analyses supported our hypothesized moderated mediation model, with secure attachment being a buffer. Greater discrimination was indirectly associated with more negative ACSSP through greater IH for individuals with mean or lower levels, but not for individuals with higher than average levels of secure attachment, specifically because among those with higher levels of secure attachment, discrimination was not associated with IH. These findings build on and extend past research, with important implications for future research and clinical work with LGB individuals, same-sex couples, and their families, including potential implementation of interventions targeting attachment security.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".