Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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