Petrologic Evolution of a Nipigon Diabase Sill, Ontario, Canada: Insights From Compositional and Textural Profiles
Bibliographic record
Abstract
Research Article| August 01, 2014 Petrologic Evolution of a Nipigon Diabase Sill, Ontario, Canada: Insights From Compositional and Textural Profiles* Michael J. Zieg Michael J. Zieg † Department of Geography, Geology, and the Environment, Slippery Rock University, Slippery Rock, Pennsylvania 16057 †E-mail, michael.zieg@sru.edu Search for other works by this author on: GSW Google Scholar Economic Geology (2014) 109 (5): 1383–1401. https://doi.org/10.2113/econgeo.109.5.1383 Article history received: 30 Apr 2012 accepted: 12 Aug 2013 first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Michael J. Zieg; Petrologic Evolution of a Nipigon Diabase Sill, Ontario, Canada: Insights From Compositional and Textural Profiles. Economic Geology 2014;; 109 (5): 1383–1401. doi: https://doi.org/10.2113/econgeo.109.5.1383 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEconomic Geology Search Advanced Search Abstract Petrographic and geochemical profiles collected through a ~250-m-thick Nipigon diabase sill near Black Sturgeon Lake, Ontario, constrain the complex emplacement and differentiation processes that controlled the magmatic evolution of these rocks: several nested reinjections of phenocryst-bearing magma, compactiondriven redistribution of mildly evolved interstitial liquids in the central portion of the sill, and segregation of highly-evolved interstitial liquids into micropegmatitic veins near the upper contact. These processes impact not only the silicate mineralogy of the rocks, but also distribution of sulfide phases.Both petrographic and geochemical data demonstrate that the sill was gradually inflated via several discrete injections of olivine-bearing magma. Plagioclase crystal size trends exhibit several reversals that are correlated with increases in olivine abundance and bulk-rock MgO content. These textural and compositional reversals are attributed to reinjections of olivine-bearing magma into partially solidified magma from earlier injections. Mixing between evolved resident magma and reinjections of less-evolved magma is commonly proposed as a mechanism for triggering sulfide mineralization. In this sill, which contains no significant mineralization, localized minor enrichments and depletions in copper content are associated with the margins of a well-constrained reinjection horizon.Chemical differentiation of the magma was controlled by three distinct processes: flow differentiation, crystal-mush compaction, and solidification front instability. Although the mineralogy of the sill is dominated by plagioclase and clinopyroxene, major-oxide compositional variations are largely controlled by the mechanical concentration of olivine via flow differentiation or phenocryst redistribution within the individual reinjection pulses. This redistribution of phenocryst phases is the primary factor controlling the major-element composition of the rocks in most of the sill. In the central portion of the sill, the abundances of incompatible trace elements are influenced by the compaction of partially crystalline mush and the expulsion of incompatible-rich interstitial liquid. This is recognized by a negative correlation between the alignment of plagioclase crystals and concentrations of incompatible trace elements such as Zr. Finally, there is a ~2.5-m-thick silicic segregation approximately 32 m below the upper contact, whose composition is consistent with residual liquid after ~65 to 85% fractional crystallization of magma with a composition equivalent to that of the marginal rocks. Similar veins and patches are common throughout the upper 50 m of the sill, indicating that this segregation process was common and widespread during the cooling and crystallization of the sill.The complexity of intrusion and differentiation in this sill, despite its generally unremarkable texture and composition, suggests that many diabase sills may have experienced a range of processes that have previously been recognized to impact the petrologic evolution of larger igneous systems, and that these processes can be identified in minor intrusions such as sills and dikes using simple and robust analytical techniques. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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) | 0.011 | 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 teacher head, 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".