Children, Youth and Developmental Science in the 2015-2030 Global Sustainable Development Goals
Bibliographic record
Abstract
In September 2016, the member states of the United Nations completed the process of adopting and defi ning indicators for the Sustainable Development Goals (SDGs; United Nations, 2015).Developed through a three-year, worldwide participatory process, these 17 goals and 169 targets represent a global consensus on the part of U.N. member nations towards an inclusive, sustainable world, centered around ensuring equity in all countries at a time of great environmental and humanitarian crises.This Social Policy Report describes the central role of supporting child and youth development in achieving the vision behind the U.N. Sustainable Development Agenda.The report then addresses the importance of developmental science in achieving the aims of the Sustainable Development Agenda through generating knowledge of child and youth development in diverse contexts, monitoring and measurement to reveal patterns of success and inequity, and building capacity for developmental science in all countries.We emphasize the goal that most clearly encompasses development from birth to young adulthood (SDG 4) and also describe the relevance of developmental science to the other goals.
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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 | 0.026 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".