Bibliographic record
Abstract
The domestic (water) buffalo is not indigenous to Africa. Some buffalo may have been taken to what is now Tunisia in Roman times about 2000 years ago. The species arrived in Egypt from Mesopotamia some 1200 years past and there were attempted introductions to the east coast of Africa by the Portuguese from India in the sixteenth century. The missionary-explorer David Livingstone took four buffalo from India to what is now southern Tanzania in 1866. In the twentieth century, European powers introduced buffalo to many of their African colonies. In addition to Egypt and Tunisia on the Mediterranean coast of north Africa buffalo have been introduced to fourteen subSaharan countries. Information on these introductions is sparse and is obviously incomplete. With the exceptions of Tanzania, where there have been buffalo for 90 years, and Mozambique, where there is documented presence over about 50 years, buffalo have been present for very short periods. They have disappeared without trace in some countries and have been culled in others due to adaptation or disease problems. Suitable ecological niches for buffalo exist in many African countries. Too few animals, failure to provide sufficient public financial resources and lack of private sector interest are among the reasons for the buffalo’s failure to contribute to African livestock production.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".