Field-based Constraints on Lower Crustal Flow From the World's Largest Exposure of Lower Continental Crust, Northern Saskatchewan, Canada
Bibliographic record
Abstract
Flow of lower continental crust is inferred to exert a primary control on surface topography and leads to extensive lateral re-distribution of mass and heat in collisional orogens, e.g. the Himalyan-Tibetan system. Previous work has yielded important predictions about the behavior and geometry of lower continental crust during orogenesis: namely, it is rheologically weak (Kohlstedt et al. 1995); it flows under the influence of a topographic or tectonic load (Clark and Royden, 2000); and it is characterized by pervasive shallow fabrics and high-T deformation mechanisms (Rutter and Brodie, 1992). Arguably the world's largest exposure of lower contiental crust that still preserves much of its deep crustal character is the central portion of the Snowbird Tectonic Zone in the western Canadian Shield. Recent fieldwork along a ca. 100 km-long transect of this exposure is characterized by an early, penetrative shallow fabric. A 40-km-long segment of this transect in charnockite and granodiorite orthogneisses is characterized by km-scale domains of shallow, granulite-grade gneissic foliation (S1) with a spectacular rodding lineation (L1) defined by: 1) discontinuous ribbons of recrystallized Pl + Qtz + Hb + Cpx + Opx, aggregates of Grt, in addition to mm- to cm-scale core-and-mantle structure in Pl and Kfs, and 2) sub-continuous, 10s of cm-long rods of compositional banding. Isoclinally-folded
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".