Challenges of a one-health approach to the development of alternatives to antibiotics
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
By 2050, global infectious disease caused by antibiotic-resistant bacteria is projected to be responsible for 10 million human deaths per year—1.8 million more than cancer. Antibiotic resistance is a natural phenomenon, but the anthropomorphic use of antimicrobials has created heightened selective pressure that has led to an increased presence of antibiotic-resistant bacteria in agriculture, aquaculture, and hospital environments. Concerns over the emergence of antibiotic-resistant bacteria that threaten human health has prompted the retail and fast food sector to promote meat and milk produced from livestock that are raised “without the use of antibiotics.” Antibiotics have become an integral component of intensive livestock production and are used to treat (therapeutic use) and prevent (prophylactic, metaphylactic) infectious disease and promote growth (subtherapeutic). The growing restriction of antibiotic use in livestock production has promoted research into a plethora of potential alternatives.
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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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