SDG 7 Affordable and Clean Energy
Bibliographic record
Abstract
As members of the Outstanding Scholars Candidate Program, we were encouraged to delve deeper into the United Nations Sustainable Development Goal number 7: Affordable and Clean Energy. Energy is something we often take for granted in our lives, but it is estimated that 13% of the world does not have access to any form of energy. 1.6 million deaths on average per year are caused by air pollution from burning fuels such as dung. The United Nation's goal is to allow for the entire world to have access to affordable and clean energy. In our research, we elaborated upon two specific targets of this SDG (Sustainable Development Goals); ensuring universal access to affordable, reliable, and modern energy services by 2023 and substantially increasing renewable energy in the global energy mix. Canada is investing millions of dollars into this energy crisis to reduce their carbon footprint and lead research in this domain. The University of Windsor has many initiatives to help achieve this goal, from developing sustainable fuels to designing innovative clean energy systems. We end our research with simple efforts we can do together to make a difference not only in Canada, but the entire world.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.229 | 0.088 |
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".