Quantitative characterization of orogens through isotopic mapping
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The relationship between orogens and crustal growth is a fundamental issue in the Earth sciences. Here we present Nd isotope mapping results of felsic and intermediate igneous rocks from eight representative and well-studied Phanerozoic orogens. The results illustrate the distribution of isotopic domains that reflect the compositional architecture of the orogens. We calculated the areal proportion of juvenile crust and divided the orogens into five types: (i) highly juvenile (with >70% juvenile crust); (ii) moderately juvenile (70–50%; e.g., the Altaids with ~58% and the North American Cordillera with ~54%); (iii) mixed juvenile and reworked (50–30%; e.g., the Newfoundland Appalachians with ~40% and the Lachlan Orogen with ~31%); (iv) reworked (30–10%); (v) highly reworked (<10%; e.g., the Tethyan Tibet (~3%), Caledonides (~1%), Variscides (~1%), and the Qinling-Dabie Orogen (<1%)). This study presents an approach for quantitatively characterizing orogens based on compositional architecture through isotope mapping, and for investigating the relationships between orogenesis and continental growth.
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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) | 0.003 | 0.001 |
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