Bibliographic record
Abstract
The anticipated letter announced its arrival with colourful geological postage stamps: botryoidal blue willemite (Zn2SiO4) and a cluster of orange wulfenite crystals (PbMO4) from Tsumeb, in northern Namibia; placer diamond mining at Oranjemund, mouth of the Orange River which divides Namibia in the south from South Africa (Fig. 1). I had moved to the University of Victoria from GSC six months earlier, and had responded to the NWT MDA-II (1992) call for projects with a proposal to map, with geochronologist Sam Bowring (MIT), the Archean basement rocks of south-ern Wopmay orogen and the adjacent Indin Lake greenstone belt of Slave craton. How different my future would have been had the proposal not been vetoed in Ottawa. My new academic freedom to work outside the country was now obligatory. The DNAG (Decade of North American Geology) project had tweaked my interest in Rodinia, the early Neoproterozoic supercontinent, and its partial reincarnation as Gond-wana (Hoffman 1991). Andy Knoll at Harvard was drawing attention to emerging carbon and strontium isotope data from Neoproterozoic carbonate rocks, which provide a means of global correlation and suggested a causal rela-tionship between Rodinia breakup and the unusual association of sedimentary banded iron-formation (BIF) and gla-cial diamictite on the one hand, and between Gondwana assembly, increased oxygenation and the radia-tion of animals on the other (Knoll 1991; Knoll and Walter 1992). John Grotzinger (MIT), who had just begun a project on the latest Proterozoic (Nama Group) in southern Namibia (Fig. 2), suggested that the Geological Survey of Namibia (GSN), eager to encourage mineral exploration after more than 20 years of guerrilla war-fare, would welcome a Wopmay-style mapping project in northern Namibia, where a 600-km-long fold belt of late (but not latest) Neoproterozoic car-bonates, the Otavi Group, hosts the Cu-Pb-Zn-V-Ge ore deposits around
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.490 | 0.365 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".