A typology of water-energy-food nexus research
Why this work is in the frame
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Bibliographic record
Abstract
The water-energy-food (WEF) nexus was introduced as an approach to address the combined water, energy, and food security challenges of the late 2000s. As an integrated approach, the WEF nexus combines these three resources together to measure and manage the trade-offs, co-benefits, and relationships between them and to integrate collaboration and policy between their related governance sectors. However, scholars have noted that a key challenge in the literature is a lack of a clear and consistent definition of the WEF nexus. With the volume and diversity of WEF nexus publications, a single definition may no longer be sufficient. Therefore, this perspective article addresses this limitation by developing a typology of the WEF nexus to categorize the framings and definitions of WEF nexus research. This typology provides clarity both in designing future WEF nexus research projects and in categorizing existing research. It develops the typology across two categories: the level of integration within the research design (as multidisciplinary, interdisciplinary, or transdisciplinary integration) and the weighting of the three sectors (whether water, energy, and food are all considered equally or whether one sector is emphasized over the other two). By using these two dimensions, this article develops a typology with six categories of the WEF nexus. Scholars may use this typology to accurately and consistently describe and design WEF nexus research within the specific context of their research study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it