Meeting water requirements of cattle on the Canadian prairies1
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
This paper examines some of the issues producers have in meeting the drinking water requirements of livestock on the Canadian prairies where they are dependent on varied ground and surface water sources. In supplying water for their cattle, producers often have problems that can affect their present and future operations. Water quality is one such problem as it can affect both the health and performance of livestock. The impact of the water quality in earthen reservoirs, the presence of sulphates in both surface and ground water, and toxins from cyanobacteria all have the potential to reduce herd productivity in the Canadian prairies. Another concern is the impact that grazing cattle can have on riparian vegetation, stream morphology, fish habitat and pollution of waterways. Damage is often caused by uncontrolled and season long grazing of cattle along water courses; options for controlling the damage are discussed. Finally, competition for a diminishing supply of water in the semi-arid Canadian prairies will become a major problem in the future. To remain viable and competitive, the livestock industry will have to develop and adopt strategies to address these issues.
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.
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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