Experiences of families of adolescents with gender incongruence in the light of the Calgary Models for Families
Bibliographic record
Abstract
OBJECTIVE: to know the experiences of family members of adolescents with gender incongruence. METHOD: this is a qualitative case study, supported by the Calgary Family Assessment and Intervention Models theoretical-methodological framework. Data collection took place through semi-structured interviews, participant observation in family groups and document analysis, with eight family members. Data analysis was performed following the precepts of content analysis. RESULTS: with family assessment, two categories emerged: "Challenges in the face of gender transition", which highlighted the problems related to the expectations created at birth, new names, pronouns and gender fluidity and the fear of prejudice, and "Supporting aspects in the face of the possibility of gender transition", which revealed family support as a strong point. CONCLUSION: knowing the experiences allowed us to understand the challenges that family members face when facing physical and emotional aspects of their children's gender transition. It was noticed that the act of seeking help and offering support is important for a healthy transition. The findings provided a better understanding of family issues and provided suggestions on how nursing can develop care for this population.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".