There is not a demand problem in mineral sands
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 optimism on the titanium dioxide (TiO2) scene contrasting slipping zircon prices, Cameron Perks, consultant and IM correspondent, spoke to managing director and CEO of Iluka Resources, David Robb, about the mineral sands market and where the world's most significant zircon producer thinks it may be heading. This industry is in need of new-high quality ore body discoveries, tier one ore bodies. We haven't really seen a significant new discovery since Jacinth Ambrosia in South Australia in 2004. Before that, the industry relied heavily on mineral sands provinces in South Africa, Western Australia and Canada, and we haven't discovered their equal. We think it's necessary for us to continue to explore on a broad front, so that's what we're doing. Ilmenite is not an important product for us. We're a demand follower, we adjust our production to suit the demand that we see. We're very happy with the trends we see in high-grade ores, rutile and synthetic rutile, which are more important to us than ilmenite.
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 | 0.000 |
| 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