Experiences of cisgender youth with a transgender and/or nonbinary sibling
Bibliographic record
Abstract
While recent research has begun to address the effects of family support on transgender and/or nonbinary youth (TNY), almost no studies have directly examined how cisgender siblings in families with TNY navigate their sibling's gender disclosure and affirmation within both their families and their larger communities. We conducted an exploratory secondary analysis of in-person, semi-structured interviews with 15 adolescent and young adult siblings (age 13-24 years) of TNY from the northeastern United States from the baseline wave of the community-based, longitudinal, mixed methods Trans Teen and Family Narratives Project. Interview transcripts were analyzed using immersion/crystallization and template organizing approaches. Analyses yielded three main themes: gender-related beliefs and knowledge, peri- and post-disclosure family dynamics, and assessing responses to their sibling. Subthemes included anticipation of their sibling's TN identity, expectations post-disclosure, participants' level of involvement in gender-related family processes, perceptions of changes in family relationships, concern for their sibling (including a high degree of attunement to gender-affirming name and pronoun usage), and concern for themselves. Findings from this study suggest the need to engage directly with siblings of TNY to further elucidate their intrapersonal, intra-familial, and extra-familial experiences related to having a TN sibling and determine their unique support needs. Implications for families, clinicians, and communities are discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| 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".