Does the light at the end of the tunnel shine for everyone? The need for early paediatric participation in vaccine trials during infectious pandemics
Bibliographic record
Abstract
While most of the mortality associated with severe acute respiratory syndrome coronavirus 2 has been in elderly populations and adults with significant medical comorbidities, there has been death and morbidity in paediatric populations. As vaccine trial data is released to the public, many people look to the future with hope ; with good vaccine uptake there is the opportunity to reduce the spread of infectious pandemics. Initial vaccine trials were completed with adults and were expanded to include paediatric populations delaying paediatric COVID-19 vaccine initiatives. The exclusion of children from initial vaccine trials during a pandemic is not morally justifiable and fosters distrust with the pharmaceutical and medical industries and inevitably postpones vaccinating children when there is a surplus of available vaccines. The delayed vaccination of children under twelve may have significant public health and economic consequences as there may be ongoing viral transmission in the context of reopening strategies. The safety and efficacy of these candidate vaccines in children should be assessed expeditiously so that distribution to vulnerable paediatric populations is not impacted. Vaccine uptake compliance in the general population is important in establishing herd immunity and ensuring that there is thorough scientific evidence to support vaccination for children is important in establishing community trust.
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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 | 0.033 | 0.255 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".