Scale-Specific Effects of Sediment Burial on Benthic Macroinvertebrate Communities
Bibliographic record
Abstract
Abstract The structure and composition of stream benthic macroinvertebrate communities are thought to be at least partially controlled by small and large scale disturbances. We deposited 6.6L of silt at each of ten sites along a 30m stretch of a 4th order stream to experimentally disturb small (800 cm2) patches of stream bottom. We saw little effect of such a disturbance, after either a three hour (short-term) or three day (long-term) deposition period, on summary community descriptors including taxon richness and Simpson's diversity and equitability. At both time scales, the disturbed patch had about 36% fewer invertebrates than an adjacent control patch, and showed a greater abundance of oligochaetes relative to chironomids. The heterogeneity of community structure at the scale of meters on a stream bottom represents the results of a mosaic of interacting patches with varying disturbance histories.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".