Bibliographic record
Abstract
Siandwazi Village, located in southern Zambia, is a community of smallholder farmers who rely on a community dam for dry season water supply and food production. Gully erosion is occurring on the dam spillway and in its watershed due to the dam’s influence on stream gradient and agricultural land-conversion. A community-led, volunteer erosion control program was conducted throughout the 2019/20 rain season to protect the dam from erosion-derived failure and re-establish natural hydrological regimes. Erosion control efforts on the spillway reduced annual gully and rill erosion from 10.5 to 2m3/yr through the placement of rock, sand-filled sacs, and vetiver grass (Vetiveria zizanioides). Erosion prevention and control efforts in the watershed were planned but never proceeded due to labour constraints and drought-derived socioeconomic challenges, therefore erosion increased from 12 to 14.5m3/yr. Construction on a flood-mitigating check dam was initiated and a baseline run-off coefficient was established to allow for specific watershed objective-setting moving forwards into next rain season.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".