Exceptional childhood and COVID-19: Engaging children in a time of civil emergency
Bibliographic record
Abstract
In the days and weeks following the March 2020 World Health Organization declaration of the global COVID-19 pandemic, a number of national leaders in the Global North, all of them working under unprecedented and extraordinarily challenging circumstances, took time to directly address the children of their respective countries. Besides answering questions about the crisis put to them by their youngest citizens, a recurrent theme on these occasions was the imperative role of children in helping to arrest the spread of the pathogen. Recalling how children have been similarly engaged in other moments of emergency, the overtures made in the context of COVID-19 are instructive both as to the recognition of children as bona fide, effectual, and necessary social agents as well as to the limits of acceptance of their subjecthood, revealed as they are in circumstances of exception.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.028 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".