The Landscapes of the Sublime 1700-1830: Classic Ground
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.
Bibliographic record
Abstract
Manure amendment generally bolsters soil organisms but not all bacteria equally. To understand why different taxa respond differently, we used shotgun metagenomic approaches to profile functional potentials and correlate them with taxon abundances. A soil originally unproductive was reclaimed using commercial manure and finally became productive. The abundance of <i>Firmicutes</i> in the soil decreased, whereas that of <i>Bacteroidetes</i> and <i>Proteobacteria</i> increased after manure addition. Thirty-nine KEGG modules were significantly different across fertilizer treatments. These modules were mainly associated with the phosphoenolpyruvate-dependent phosphotransferase system (PTS), ATP-binding cassette (ABC) transporters, and two-component signal transduction systems. The <i>Proteobacteria</i> and <i>Firmicutes</i> mainly contributed to these modules. Correlation between the abundances of phyla and orthologs showed two distinctive patterns. One linked the <i>Firmicutes</i> to cell wall biosynthesis, PTS, and ABC transporters, and the other linked the <i>Betaproteobacteria</i>, <i>Bacteroidetes</i>, and <i>Verrucomicrobia</i> to lipopolysaccharide biosynthesis, bacterial motility, and carbon metabolism. Correlation between the abundances of phyla and Carbohydrate-Active Enzyme Database families also showed two distinctive patterns, one of them linking the <i>Betaproteobacteria</i>, <i>Bacteroidetes</i>, and <i>Verrucomicrobia</i> to very high abundances of glycosyltransferases and glycoside hydrolases. Overall, the <i>Proteobacteria</i> and <i>Firmicutes</i> were main drivers of functional potential differences across fertilizer treatments. The <i>Firmicutes</i> were enriched with genes associated with cell wall biosynthesis and membrane transports, while <i>Proteobacteria</i> with lipopolysaccharide biosynthesis and carbohydrate metabolism, which supports our hypothesis that the <i>Firmicutes</i> have a lower potential for utilizing manure-derived carbohydrates, while <i>Proteobacteria</i> have a higher potential. This explains why the <i>Proteobacteria</i> and <i>Firmicutes</i> responded to manure differently.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it