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Record W6987240826

Spatial and temporal variability in the geochemistry of the sediments at the Main Endeavour Field, Juan de Fuca Ridge

2023· dissertation· en· W6987240826 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsHydrothermal circulationHydrothermal ventSeawaterSedimentPlumeTransectSettlingRidge
DOInot available

Abstract

fetched live from OpenAlex

Sediments near hydrothermal vents are enriched in metals derived directly from hydrothermal fluids (e.g., Fe, Cu, Zn, Mn) and those associated with scavenging and co-precipitation from seawater with hydrothermally derived Fe-sulfides and Fe-oxyhydroxide minerals (e.g., P, V, Co, Mo, As, REEs). The sediments surrounding active venting have high concentrations of these elements which decrease with distance from the vents due to both hydrothermal plume dilution with seawater and sedimentation of hydrothermal particles. The composition of hydrothermal sediments from the Main Endeavour Field on the Juan de Fuca Ridge, approximately 300 km off the coast of Vancouver Island, was determined using samples collected in sediment traps at three locations along a transect below the hydrothermal plume. These traps were deployed on-axis, 3 km, and 9 km off-axis allowing the spatial variability of the hydrothermal component of the sediments to be assessed. The chemical composition and mass accumulation rates of the hydrothermal component is governed by particle formation in the near vent region and is controlled by particle settling rates with distance from active venting. The concentration and mass accumulation rate of the hydrothermal component of the sediment decreases rapidly with distance, with an order of magnitude decrease between the on-axis and 3 km off axis sediment trap samples, and a further 1-2 orders of magnitude decrease from 3 km off axis to 9 km off axis. Sediment trap samples are also used to create a high-resolution time series of hydrothermal sedimentation over the course of the approximately year sampling period, with each on-axis sample collecting 21 days of sediment and each off-axis sample collecting 12 days of sediment. These samples allowed for an initial assessment of the temporal variation in the chemical composition and mass accumulation rate of the hydrothermal sediment. The variability observed in the hydrothermal component mass accumulation rate suggests that physical oceanographic processes (e.g., flow reversal) impacts the rate of sedimentation. The base of a 50 cm sediment core, collected 2.6 km northwest of the Main Endeavour Field, was dated at ~6,000 years and a high-resolution geochemical reconstruction is used to determine how the hydrothermal component has changed on a 100–1000 year time scale. The comparison of the sediment core to fresh sediment collected by the sediment traps is used to understand how post-depositional changes affect the composition of the hydrothermal component preserved in sediment, as well as the utility of some elements, such as Mn, in reconstructing paleo-hydrothermal sedimentation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

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

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 head0.034
GPT teacher head0.351
Teacher spread0.317 · 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
Published2023
Admission routes1
Has abstractyes

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