Framing policy objectives in the sustainable development goals: hierarchy, balance, or transformation?
Bibliographic record
Abstract
Society continues to be confronted with the deep inadequacies of the current global order. Rampant income inequality between and within countries, dramatic disparities in access to resources, as seen during the COVID pandemic, persistent degradation of the environment, and numerous other problems are tied to existing systems of economy and government. Current global economic systems are implicated in perpetuating these problems. The Sustainable Development Goals (SDGs) were born out of the recognition that dramatic changes were needed to address these intersecting challenges. There is general recognition that transformation of global systems and the relationship between sectors is needed. We conduct a structured, theoretically-informed analysis of SDG documents produced by United Nations agencies with the aim of examining the framing of economic policy goals, a historically dominant domain of consideration in development policy, in relation to health, social and environmental goals. We apply a novel typology to categorize the framing of policy goals. This analysis identified that the formal discourse associated with the SDGs marks a notable change from the pre-SDG development discourse. The 'transformational' agenda issued in the SDG documents is in part situated in relation to a critique of previous and existing approaches to development that privilege economic goals over health, social and environmental goals, and position economic policy as the solution to societal concerns. At the same time, we find that there is tension between the aspiration of transformation and an overwhelming focus on economic goals. This work has implications for health governance, where we find that health goals are still often framed as a means to achieve economic policy goals. Health scholars and advocates can draw from our analysis to critically examine how health fits within the transformational development agenda and how sectoral policy goals can move beyond a crude emphasis on economic growth.
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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 | 0.043 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.011 | 0.096 |
| Scholarly communication | 0.027 | 0.032 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".