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Record W7006425460

Trace elements in ore minerals as indicators of hydrothermal fluid evolution in the Au-rich porphyry system of Iron Cap, British Columbia, Canada

2022· dissertation· en· W7006425460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsnot available
Fundersnot available
KeywordsPyriteHydrothermal circulationTrace elementMineralVeinMineralization (soil science)Genetic modelPetrographyFluid inclusions
DOInot available

Abstract

fetched live from OpenAlex

Trace elements in ore minerals are increasingly utilised to illuminate genetic processes, and improve mineral exploration and processing approaches. However, the ore minerals of porphyry deposits have received limited study, despite the need to better understand the nature of hydrothermal fluid evolution in porphyry systems. In this thesis, the trace element contents of the ore mineral assemblages of successive vein generations are examined to investigate variations in hydrothermal fluid characteristics throughout formation of the Au-rich porphyry deposit of Iron Cap, British Columbia, Canada. Detailed petrographic analyses have led to the classification of eight vein generations at Iron Cap. Trace element analyses by LA-ICP-MS reveal that different vein generations exhibit unique geochemical signatures. Both Se and Ag display consistent ore mineral partitioning trends between vein generations, but their concentrations vary systematically. This suggests that these elements record specific changes in hydrothermal fluid characteristics between vein generations, such as temperature, pH, and/or salinity. A lattice strain model for pyrite has been developed, which shows that Co and Ni are lattice-hosted, and actually exhibit higher partition coefficients for pyrite than Fe does. This means that Co/Ni ratios in pyrite (0.2 to 186.6) directly record Co/Ni ratios in the hydrothermal fluids. Fluctuations in Co/Ni ratios in pyrite growth zones revealed by trace element mapping illustrate that the characteristics of the hydrothermal fluids precipitating the pyrite at Iron Cap are regularly oscillating, which can only be explained by the influx of multiple different fluids during vein formation. This research shows that trace elements in porphyry ore minerals have the potential to elucidate genetic processes. In particular, hydrothermal fluid evolution in porphyry systems is shown to be inherently chaotic and complex on both the local and deposit scale, with specific veins necessarily formed by numerous episodes of fluid pulsing, fluid mixing, and/or vein re-opening.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.227
Teacher spread0.217 · 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