Research Article: The Use of Domestic Goats and Vinegar as Municipal Weed Control Alternatives
Bibliographic record
Abstract
This article presents the results of a two year pilot case study of alternative weed control in a northern Canadian community. Investigators tested the efficacy of acetic acid (vinegar) and a domestic herbivore (goats) as invasive weed control alternatives to the use of commercial herbicides in a north central British Columbian municipal setting. Results were positive for using an 8% concentration of vinegar as a control for Canada thistle (Cirsium arvense (L.) scop.), although these results were significant only in the second year of applications. Domestic goats demonstrated significant interest in thistle, as well as hawkweed, (Hieracium spp.), two species of horsetail (Equisetum arvense and Equisetum pratense), oxeye daisies (Leucanthemum vulgare), and the common dandelion (Taraxacum officinale). Cost estimates suggest that over a five year period, both methods are as cost effective as single application herbicides, while posing fewer concerns over impacts on human and ecosystem health. Both are simple solutions easily implemented, with some planning, even by small municipalities and communities.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".