Neoproterozoic to Cambrian granitoids of northern Mozambique and Dronning Maud Land Antarctica: Implications for the assembly of Gondwana
Bibliographic record
Abstract
The field relationships, petrography, whole rock major, trace element and radiogenic isotope chemistry and geochronology of Cambrian Granites granites from the Nampula Terrane (NT) Mozambique are reported. These data are compared with published data from Neoproterozoic to Cambrian granites from Central Dronning Land (CDML). Age comparisons include data from the Cabo Delgado/Namuno Terrane of northern Mozambique (CDNMT). Whereas there is significant overlap in the chemistry and ages of the granites from the NT, compared to those from CDML and CDNMT, indicating their possible genesis within the same broad orogenic event, subtle differences in mineralogy, chemistry and age are seen. These differences include subsolvus peraluminous mica-dominated granites with ages < ∼ 530 Ma in all three areas but concentrated in the NT, in contrast to dominantly metaluminous hypersolvus charnockitic syenogranites with ages > ∼ 530 Ma in CDML and CDTNM, but absent from the NT and western Sverdrupfjella. The differences between the two granite varieties are inferred to reflect differences in tectonic setting during genesis, with the marginally older CDML and CDTNM granites/charnockites resulting from decompression dehydration melting, dominantly of amphibole in the hanging wall of a mega-nappe. In contrast the marginally younger NT granites were generated dominantly from dehydration melting of mica in the footwall of the mega-nappe structure. Geophysical data indicate the thickened crust underlying the mega nappe in DML extends far in to Antarctica indicating much of East Antarctica may be underlain by allochthonous crust.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".