Juntanza: Reimagining mental health and resistance through collective practices with trans activists in Colombia
Bibliographic record
Abstract
Background Trans activists in Colombia face pervasive violence, systemic discrimination, and limited access to mental health services; conditions compounded by armed conflict and deep structural inequalities. Despite these challenges, they manage to provide essential care and advocacy within their communities. Dominant mental health models rooted in resilience and individualism fail to recognize the sociopolitical causes of distress, often reinforcing isolation and pathologization.Aims This project aimed to foster collective dialogue on mental health, to identify care strategies grounded in trans activists’ lived realities and find ways to strengthen community-based approaches that recognize the sociopolitical dimensions of healing.Methods A participatory approach included an online survey, a national workshop with trans activists from diverse regions, seven follow-up regional workshops, semi-structured interviews, and focus groups. Workshops critically engaged with evidence-based tools while centering existing community practices.Results The process created spaces for co-creation, adaptation, and mutual learning, allowing rigid existing mental health frameworks to be reshaped by participants’ needs. It fostered connections, validated lived experiences, and built a support network among trans activists, countering burnout and isolation. Participants reported deep mistrust of institutional mental health systems and highlighted how violence, economic instability, and NGO-driven competition fracture solidarity and deepens isolation. In response, they have developed creative, culturally grounded strategies of care. A key outcome was the concept of juntanza: a collective, relational practice of healing and organizing that resists the individualization of mental health.Conclusion Sustainable mental health support for trans activists relies on collective care, solidarity, and community wisdom. Future mental health interventions should complement existing strategies, increasing the creativity and flexibility of current tools and approaches.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".