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Record W2419744080

New constraints on paleoreconstructions through geochronology of mafic dyke swarms in North Atlantic Craton

2016· dissertation· en· W2419744080 on OpenAlexaboutno aff
Mimmi Nilsson

Bibliographic record

VenueLund University Publications (Lund University) · 2016
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySupercontinentCratonFlood basaltMaficBaddeleyiteSillLarge igneous provinceGeochemistryMagmatismGeochronologyMantle plumeEarth scienceRodiniaRiftPaleontologyLithosphereTectonicsZirconVolcanism
DOInot available

Abstract

fetched live from OpenAlex

Earth history is punctuated by a series of events of supercontinent amalgamation and break-up. Fragments of old continents display rifted margins and orogenic sutures that testify their involvement in supercontinent cycles. Periods of break-up are associated with widespread magmatism due to extensional thinning and rifting of the lithosphere and in some instances the arrival of mantle plumes. Mantle plumes are thought to, at least in part, be responsible for Large Igneous Provinces (LIPs for short), voluminous short-lived outburst of mafic magmatism, whose products are continental flood basalts and oceanic plateaus, layered intrusions, sills and dykes. While continental flood basalts and oceanic plateaus are sensitive to subsequent erosion and subduction, the plumbing system of LIPs comprising deep-seated intrusions, sills and dykes have a high preservation potential. Thus, these events should be possible to trace back in time through multiple supercontinent cycles. LIPs typically have temporal scales of a few million years, but spatial scales of several hundred to thousand kilometers. After break-up and subsequent ocean basin opening, the products of LIPs may end up on different continents. Ancient crustal fragments, or cratons, have experienced a number of magmatic events, and thus have their individual record. Cratons that were once adjacent in a single landmass should share a part of their magmatic record during the interval of time they were connected. Because mafic rocks contains trace amounts of baddeleyite (ZrO2), and because baddeleyite incorporate abundant uranium but only neglible amounts of lead in its crystal structure, we can age determine mafic intrusions using U-Pb geochronology. H Date: 2016-05-16 ence, we can elucidate these events, craton by craton, and compare them to each other. Multiple individual age matches between different cratons suggest a common ancestry in a supercontinent or supercraton. In addition, dyke swarms provide geometric information as they often display radiating or parallel patterns. Fragments of ancient supercontinents or larger landmasses can thus theoretically be reconstructed by comparing geometry of dyke swarm matches in the magmatic record. My PhD-project has been focused on Paleoproterozoic mafic dykes from the present-day southern Greenland part of the Archean North Atlantic Craton (NAC). Precise U-Pb baddeleyite age determinations of multiple events of dyke emplacement are presented in this thesis at ca. 2500, 2375−2365, 2215−2210, 2165−2160, 2125 and 2050−2020 Ma. This magmatic record show temporal correlations with a number of Archaean cratons worldwide, and notably share multiple matches with Superior and Dharwar cratons in present day Canada and India, respectively. A tentative paleoreconstruction of possible cratonic configurations of North Atlantic, Superior and Dharwar cratons during the time interval 2.37−2.17 Ga is presented in the context of supercraton Superia.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.178
Teacher spread0.168 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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