Lived Experience is Our Superpower: Narratives from Four Global Shapers, World Economic Forum (WEF) Youth Mental Health Leaders Journeys
Bibliographic record
Abstract
Lived experience and leadershipLeadership is not just about authority or position,it can be about using one's journey to inspire, empower, and create meaningful change.Each of us faces challenges that shape who we are, but it is how we respond to struggles which has the potential to define our resistance and leadership approaches.Through resilience, empathy, and a deep sense of purpose, we can turn our most difficult moments into powerful tools for personal and collective transformation.This opinion aims to exemplify how individuals have embraced their lived experiences,ranging from grief, trauma, and distress, driving our leadership journeys.From navigating cultural shocks to overcoming personal loss, the stories of Matin, Sanjana, Himadri, and Matthew illustrate the immense potential of self-determination and transformation from pain into purpose.They show how adversity, when reframed and understood, can become a catalyst for advocacy and social change.Through our experiences, we demonstrate that leadership is about empathic, impactful, and purpose-driven actions.These stories through first person accounts highlight how adversity can become a source of strength, not just for personal growth but for inspiring others and creating a more compassionate world.We hope that all individuals, when appropriate and when they feel safe enough to do so, can use their lived experiences as a source of leadership, resistance and/ or activism, and empowerment for social change.We call for resisters, disruptors, activists and/or leaders toembrace their mental health challenges to authentically transform society.Madness can be a gift, when harnessed. How to use your experiences to shape your leadership approach: Matin's lived experienceEach of us has a unique story of struggle, but it's how we transform that struggle into purpose that empowers us to create change.My journey, marked by experiencing isolation, anxiety, and grief, has shown me that our most challenging experiences can ignite our inner strength and drive us toward self-determination.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".