Bibliographic record
Abstract
Art is a powerful bridge to foster empathy, promote dialogue, and challenge societies' destruction of nature. The creation of a series of oil paintings on lithium extraction was to highlight the destruction of the environment in one of the driest areas of the planet, pumping brine from hypersaline lakes (salars) for evaporation and using scarce water resources for processing, highlighting the devasting impact on Indigenous communities, and ecosystems. Alternative solutions proposed by the Indigenous communities, which can preserve water resources, can create a more equitable future that is less damaging to the environment. Knowledge and understanding were co-created through the invaluable review process, a journey in which each of us played a crucial role in shaping the narrative. The co-constructed formats helped strengthen the need to protect the planet and the rights of marginalized communities. Art transcends cultural barriers, has the potential to foster shared understanding, and can inspire optimism and encouragement for a future of peace and justice. By engaging with the artworks, the conference community played a pivotal role in understanding the wishes of Indigenous communities and their proposed solutions for a more equitable future. (communication by email on 2025-04-29)
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".