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Record W2471977683 · doi:10.1130/2011.1207(14)

Heterogeneous strain and polymetamorphism in high-grade terranes: Insight into crustal processes from the Athabasca Granulite Terrane, western Canada, and the Limpopo Complex, southern Africa

2011· book-chapter· en· W2471977683 on OpenAlexaboutno aff
Kevin H. Mahan, C. А. Smit, Michael L. Williams, Gregory Dumond, Dirk D. van Reenen

Bibliographic record

VenueGeological Society of America eBooks · 2011
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
FundersGeological Society of AmericaRussian Foundation for Basic ResearchNational Science Foundation
KeywordsTerraneGranuliteGeologyMetamorphismTectonicsShear zoneGeochemistryEarth scienceMetamorphic rockOrogenySeismologyPaleontologyFacies

Abstract

fetched live from OpenAlex

Heterogeneous strain commonly serves as an important natural instrument for unraveling complex tectonic histories in polyphase metamorphic terranes. We present key examples of multi-scale heterogeneous deformation from two classic deep-crustal granulite terranes, the Athabasca Granulite Terrane in western Canada and the Limpopo Complex in southern Africa. These examples are chosen to illustrate how localized strain and attendant metamorphism played a key role in the development and preservation of important records of deep-crustal processes. In addition, several common characteristics of these terranes are identified through this analysis and include heterogeneous deep-crustal flow, regional-scale tectonic heterogeneity, and multistage exhumation with high-resolution records developed in locally hydrated shear zones. Better recognition of the fundamental spatial and temporal heterogeneity in these and other similar polymetamorphic terranes may help to reconcile apparently conflicting interpretations and tectonic models.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.028
GPT teacher head0.185
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2011
Admission routes1
Has abstractyes

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