Global health and the urban poor: mobilising adolescents for sustainable cities and communities
Bibliographic record
Abstract
As we approach 2030, the field of global health must innovate and renew itself to accelerate progress towards the attainment of the Sustainable Development Goals (SDGs). Many researchers have raised concerns about the invisibility of adolescents in the SDGs and their under-representation in global health research and initiatives.1 Another shortcoming of global health is that rural health is often prioritised over urban health despite the significant rise of megacities in low-income and middle-income countries (LMICs).2 3 By meaningfully including adolescents in its urban health initiatives, the global health community can help address the lack of visibility of adolescents while also making progress towards SDG11 for sustainable cities and communities to ‘make cities and human settlements inclusive, safe, resilient and sustainable’.4 We believe that global health can play a central role in building more equitable and sustainable urban societies. This can be achieved by amplifying the voices of adolescents in urban settings and promoting their participation in their communities.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".