Sustainable Development Goals and End-of-Life Electric Vehicle Battery: Literature Review
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
With a global urgency to decrease greenhouse gas emissions, there has been an increasing demand for electric vehicles on the roads to replace vehicles that use internal combustion. Subsequently, the demand and consumption of raw materials have increased, and thus, there has been an increasing number of retired lithium-ion batteries (LIBs) that contain valuable elements. This literature review paper looks at the following: lifecycle assessments (LCA) of EV batteries, the recycling of LIBs while analyzing what studies have been conducted to improve recycling processes, what recycling facilities have been established or are being planned, studies on the circular economy, the environmental benefits of recycling end-of-life (EOL) batteries, and how LIB recycling is aligned with the Sustainable Devel opment Goals, focusing in particular on Goal 13: Climate Action.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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