Imerys results show clear vision, despite falling revenue
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
Revenue for the first six months was [Euro] 1.9bn ($2.5bn*). This was split at [Euro] 929.3m for Q1 2013 and [Euro] 951.4m for Q2. Operating income was at [Euro] 244m; split [Euro] 117m in the first quarter and [Euro] 127m in Q2 2013. This is compared to [Euro] 126m and [Euro] 139m in 2012. The uptick in building in the US has led to stronger sales in filtration, rubber, [Gilles Michel] explained. Globally business is growing for talc, therefore performance and filtration is going well, he added. This stability owes much to growth in Asia and emerging countries. There has a contraction of 3.8% in more mature countries, Michel explained. The paper making industry in mature countries is down, but emerging countries has increased.
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