World Antimicrobial Awareness Week 2021 — Spread Awareness, Stop Resistance
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
Celebrated between November 18-24 each year (2), WAAW aims to increase awareness of global AMR and to encourage best practices among the general public, healthcare workers, farmers, animal health professionals, and policymakers to avoid the further emergence and dissemination of drug-resistant infections. In May 2015, a global action plan to tackle AMR was endorsed at the World Health Assembly, supported by FAO and OIE. The first objective of the plan was to "Improve awareness and understanding of antimicrobial resistance through effective communication, education and training." To help achieve this objective, the FAO, OIE, and WHO (collectively known as the Tripartite) have jointly supported WAAW since 2015, together with the general public, students, policymakers, and professionals from various sectors across the world. The overarching slogan of World Antimicrobial Awareness Week continues to be "Antimicrobials: Handle with Care". WAAW is celebrated from November 18-24 every year, endorsing the following campaign objectives: 1) Position AMR as a globally recognized crisis with meaningful engagement across all sectors -human, animal, plant, and environment as the One Health approach, where inappropriate use of antimicrobials in both humans and animals is contributing to the problem and no sector can tackle the problem in isolation; 2) Raise awareness to protect antimicrobial sustainability through prudent and responsible use; 3) Highlight the roles and responsibilities that individuals, governments, professional societies, and organizations in human, animal, environment, and plant health play in addressing and tackling antimicrobial resistance; 4) Encourage behavioral changes that will result in the prudent use of antimicrobials across all relevant sectors and convey the message that simple and sensible actions can make a positive impact.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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