Physical Soil Disturbance Effects On Soil pH In The Greater Vancouver Area
Bibliographic record
Abstract
As human settlement is expanding, and agricultural practices are becoming increasinglydetrimental to the soil to cope with the increasing demand of food, it’s important to understandthe impact of physical disturbance on soil. Soil pH level varies across a landscape and isdependent on microbial and fungal content, as well as the type of disturbance it experiences. Thisstudy investigates the relationship between soil pH level and its physical disturbance, andhypothesizes an increase in soil acidification as soil disturbance increases. Across the GreaterVancouver Area, Canada, 48 soil samples were obtained from four different classes of soildisturbance, whereby the pH of each soil sample was recorded with chemical pH test kits.Following this, a one-way ANOVA test was carried out to assess the means between differentsoil classes, resulting in a p value of 0.054. As a consequence, it was concluded that the meanswere not statistically significant, thus failing to reject the null hypothesis. However, as the pvalueindicated that the means were not statistically different, it was concluded that theexperiment needs to be replicated with a larger sample size to obtain a clearer interpretation ofthe results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".