Geochemical and Mineralogical Analyses of Cold Spring Deposits from Borup Fiord Pass, a Sulfur-Dominated Arctic Analog for Planetary Environments on Mars and Europa
Bibliographic record
Abstract
Sulfur is one of the most ubiquitous elements in the universe and one of those that is crucial for life, as we know it. This graduate dissertation presents the culmination of work conducted to better understand biological and geochemical processes related to sulfur cycling at a sulfur-dominated field site in the Canadian High Arctic. This site, situated in a valley called Borup Fiord Pass, provides a unique environment where sulfide-rich fluids emerge from a glacier and form large deposits of ice that become covered in elemental sulfur. The role of biology is compelling and yet challenging to define in each step of sulfur cycling at Borup Fiord pass, whether one considers the origin of the sulfide (presumed biological sulfate reduction in the subsurface) or one focuses on the processes driving sulfur oxidation and stabilization at the glacier’s surface. This dissertation presents results from a field expedition in 2014 as well as detailed mineralogical and spectroscopic analyses of sulfur-rich materials returned from the field. The importance of sulfur and carbonate minerals at this site is considered. Also, analyses of materials within pyrite alteration features in the valley are explored. These features appear to represent emplaced subsurface sulfide ores, which have been subsequently leached near the surface, forming gossanous structures. The geochemistry and mineralogy of these features is explored, as well as is their potential to serve as analogs for the exploration of Mars. The dissertation then concludes with some consideration of potential future work to be considered as well as a recapitulation of the current state of knowledge of processes at Borup Fiord Pass.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".