THE APPLICATION OF STABLE Fe ISOTOPES TO MAGMATIC SULFIDE SYSTEMS: CONSTRAINTS ON THE Fe ISOTOPE COMPOSITION OF MAGMATIC PYRRHOTITE
Bibliographic record
Abstract
Research Article| August 01, 2018 THE APPLICATION OF STABLE Fe ISOTOPES TO MAGMATIC SULFIDE SYSTEMS: CONSTRAINTS ON THE Fe ISOTOPE COMPOSITION OF MAGMATIC PYRRHOTITE Laura D. Bilenker; Laura D. Bilenker 1Pacific Centre for Isotopic and Geochemical Research, Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, 2020-2207 Main Mall, Vancouver, BC V6T-1Z4, Canada †Corresponding author: e-mail, lbilenke@eoas.ubc.ca Search for other works by this author on: GSW Google Scholar Dominique Weis; Dominique Weis 1Pacific Centre for Isotopic and Geochemical Research, Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, 2020-2207 Main Mall, Vancouver, BC V6T-1Z4, Canada Search for other works by this author on: GSW Google Scholar James S. Scoates; James S. Scoates 1Pacific Centre for Isotopic and Geochemical Research, Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, 2020-2207 Main Mall, Vancouver, BC V6T-1Z4, Canada Search for other works by this author on: GSW Google Scholar Eden Perry Eden Perry 2STEM Fellowship Internship Program, University of British Columbia, Vancouver, BC V6T-1Z4, Canada Search for other works by this author on: GSW Google Scholar Economic Geology (2018) 113 (5): 1181–1192. https://doi.org/10.5382/econgeo.2018.4586 Article history accepted: 29 Apr 2018 first online: 31 Jul 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Laura D. Bilenker, Dominique Weis, James S. Scoates, Eden Perry; THE APPLICATION OF STABLE Fe ISOTOPES TO MAGMATIC SULFIDE SYSTEMS: CONSTRAINTS ON THE Fe ISOTOPE COMPOSITION OF MAGMATIC PYRRHOTITE. Economic Geology 2018;; 113 (5): 1181–1192. doi: https://doi.org/10.5382/econgeo.2018.4586 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietyEconomic Geology Search Advanced Search Abstract We present the first systematic characterization of the Fe isotope composition of magmatic pyrrhotite for the application of Fe isotopes to the origin and evolution of magmatic sulfide deposits. Iron isotopes provide constraints on redox, temperature, fluid exsolution, fractional crystallization, and intermineral diffusion at magmatic or subsolidus conditions. Paired with S isotopes, Fe isotopes have proven to be useful tracers of crustal contamination in bulk magmatic sulfide. Relative and specific Fe isotope values exist for major Fe-bearing igneous minerals; however, there is a paucity of well-constrained Fe isotope data for sulfides. Recent studies indicate that pyrrhotite will strongly influence the Fe isotope systematics of magmatic systems, yet there are few published δ56Fe values (56Fe/54Fe in the sample relative to IRMM-14) of natural pyrrhotite. To provide this fundamental information, we report the first dataset for magmatic pyrrhotite from nine deposits of various origins and ages. The δ56Fe value of pyrrhotite samples (n = 17) ranges from –0.55 ± 0.04‰ to +0.05 ± 0.03‰, and reflects the composition of the sulfide, variable degrees of assimilation, and crystallization history of each deposit. Only the impact-related Sudbury deposit shows especially light δ56Fe values for pyrrhotite (–0.89 ± 0.04‰; (–0.62 ± 0.04‰; n = 2). A modeling approach using these new data confirms the potentially strong influence of pyrrhotite on the Fe isotope systematics of a magmatic system. A global dataset of pure individual sulfide minerals will aid in more accurately tracing the processes at play in the formation and evolution of deposits containing magmatic sulfide. You do not currently have access to this article.
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How this classification was reachedexpand
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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads 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".