Fulbright Scholar International Teaching and Research Opportunities for Veterinary Faculty
Bibliographic record
Abstract
The Fulbright program was established by the US Congress to "enable the government of the United States to increase mutual understanding between the people of the United States and the people of other countries." The Core Fulbright Scholar Program sends more than 800 US faculty and administrators to 125 countries to lecture or conduct research around the world each year. Unfortunately, only 28 faculty members from the US veterinary colleges have used Fulbright Scholar opportunities in the last 20 years (1989-2009). Considering recent worldwide events, such as the global dispersion of the Asian strain of highly pathogenic avian influenza and pandemic H1N1 2009 affecting human and animal species, the importance of awareness and education of veterinarians to such global issues is obviously urgent. Therefore, Fulbright scholarships represent an important opportunity to gain experience and bring this time-critical information back to fellow faculty and students. Veterinarians who wish to contribute to internationalization of the curricula and their campuses should consider applying for Fulbright Scholar support to launch their career in this pivotal direction. For details about the Fulbright Scholar Program, eligibility, and application procedures, please visit <http://www.cies.org/us_scholars/>.
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 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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 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".