Bibliographic record
Abstract
Botswana: A 2,492-carat rough diamond, one of the largest ever found, was found in Botswana by Canadian mining company Lucara Diamond Corporation. The diamond was discovered at the lucrative Karowe Diamond Mine in northeastern Botswana, about 430km (270 miles) from Gaborone, the country's capital. The Botswana government believes the huge 2,492-carat stone is the second biggest ever brought out of a mine. (allafrica.com 22/8) Lesotho: Minister of Natural Resources, Mohlomi Moleko, in an interview with the Lesotho Times on August 31st, stated that all mining companies operating in Lesotho were struggling to sell their diamonds due to a decline in global demand, particularly in Belgium. As a result, major mines may be forced to place their operations under care and maintenance, potentially sending employees home. Moleko added that one mine had already decided to transition to care and maintenance to avoid further financial losses, though did not immediately disclose the name of the mine. (Lesotho Times 1/9)
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.241 | 0.077 |
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 source (direct Gemma or distilled Codex), 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".