AI: A Key Enabler of Sustainable Development Goals, Part 1 [Industry Activities]
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
We are witnessing a paradigm shift regarding how people purchase, access, consume, and utilize products and services as well as how companies operate, grow, and deal with challenges in a world that is continuously changing. This transformation is unpredictable thanks to fast-growing technological innovations. One of the cornerstones is artificial intelligence (AI). AI is probably the most rapidly expanding field of technology, due to the strong and increasingly diversified commercial revenue stream it has generated. The anticipated benefits and risks of the pervasive use of AI have encouraged politicians, economists, and policy makers to pay more attention to the results. Given the fact that AI's internal decisionmaking process is nontransparent, some experts consider it to be a significant existential risk to humanity, while other scholars argue for maximizing the technology's exploitation.
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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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