Dissident Genders: Intersectionality and Assistance in Healthcare Networks
Bibliographic record
Abstract
Introduction: The persistence of a cisgender binary structure continues to marginalize individuals whose identities fall outside normative gender categories. Understanding the perspectives of gender-dissident individuals is necessary for creating health environments that uphold respect and dignity in care for people of all genders. Objectives: To analyze the perspectives of dissident genders on care and to understand their perception of the professional approach in healthcare networks. Method: This cross-sectional qualitative study employed a subject-partner methodological approach, grounded in the theoretical frameworks of Akotirene, Butler and Preciado. Data were collected through 2 virtual focus groups with gender-dissident participants and through field diaries involving the subject-partner. The data were analyzed using Minayo’s content analysis methodology. Results: Three thematic dimensions of meaning emerged: 1) Being-itself, capturing experiences of identity, recognition, and the challenges of existing in a cisnormative world; 2) Care structuring from-in the Unified Health System, highlighting how professional beliefs and institutional norms restrict access, humanization, and continuity of care; and 3) Strategies for advancement, emphasizing inclusive practices, representativeness, and the need for structural and educational change. Discussion and Conclusion: Experiencing care within healthcare networks remains marked by inconsistent recognition of gender identity. Inclusive care requires subverting cisnormative values, strengthening professional education, and promoting active participation of gender-dissident people. The subject-partner framework underscores their role as co-constructors of knowledge and care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".