Bridging Sectors and Disciplines to Gain a Critical Understanding of the Eco-Social Determinants of Health Inequities: The ESDHI-EU Conference
Bibliographic record
Abstract
The current eco-social crisis is driven by an unsustainable socioeconomic model based on continued economic growth that exceeds planetary limits. Groups experiencing disadvantages are being disproportionately affected, further deepening global, regional, and local health inequities. Understanding the simultaneous ecological and social crises through a comprehensive approach across disciplines and sectors-including citizen participation-is essential for driving transformative change and paradigm shifts. Achieving genuine ecological sustainability, social justice, and health equity is critical for transitioning towards a new social-ecological paradigm in research and policy. This requires transformative research and policymaking in key areas-eco-social crisis; democracy, social inclusion and participation; geopolitics; and equitable, sustainable cities-all of which represent pressing challenges within this global crisis, and serve as thematic axes for the European conference Rethinking the Eco-Social Determinants of Health Inequities through the Transdisciplinary and Intersectoral Lens (ESDHI-EU), which will be held in Barcelona, Spain, on May 22-23, 2025, and will explore the root causes of health inequities from a transdisciplinary, intersectoral, and transnational perspective.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".