An Assessment of Phosphorus Fractions in the Canadian High Arctic Post-Permafrost Disturbances
Bibliographic record
Abstract
Climate change is impacting all natural processes, and the phosphorus cycle is no exception. With the High Arctic warming at a significantly increased rate compared to the rest of the world, thawing permafrost could potentially release great amounts of carbon, which through cellular respiration in microbes and plants, would eventually enter the atmosphere creating a runaway positive feedback cycle. The purpose of this research is to determine the amounts of the different forms of phosphorus present in High Arctic soil after a permafrost disturbance. This project will be done as a chronosequence as opposed to a longitudinal study, as it is not practical to measure time over a period of 60-70 years. Soil samples were collected from the Cape Bounty Arctic Watershed Observatory on Melville Island in Canada. 3 sites were sampled, each with a different amount of time elapsed since a permafrost disturbance occurred. These 3 sites vary from the disturbance occurring 1-2 years ago, to 14 years ago, to 60-70 years ago. 3 replicates were taken from each site. Furthermore, each site had its own respective control, from which 3 replicates were also taken. Chemical analysis of the amount of phosphorus present in the soil samples will be done using the Hedley method of phosphorus fractionation. The Hedley method is a method of phosphorus fractionation that is done by sequentially adding stronger reagents to remove various forms of occluded, non-occluded, labile, and resistant forms of phosphorus. The results of this project are still unknown, as much lab work has yet to be completed. However, I expect phosphorus fractions results to vary between the different sites. This is significant as human disturbances and interference may cause accelerated permafrost thaw in the High Arctic, furthering altering ecosystems.
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 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 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".