Rethinking ‘essential’ and ‘nonessential’: the developmental paediatrician’s COVID-19 response
Bibliographic record
Abstract
While terms such as 'essential' and 'nonessential' used amidst the COVID-19 pandemic may serve a practical purpose, they also pose a risk of obstructing our view of the harmful indirect health consequences of this crisis. SARS-CoV-2 cases and deaths in children are minimal compared to adults, but the pandemic impacts other 'essential' aspects of children's health including child development and the associated areas of paediatric behaviour, mental health, and maltreatment. Alongside the management of severe SARS-CoV-2 cases in emergency rooms and intensive care units, continuing to care for children with developmental disabilities must also be concurrently championed as 'essential' during this crisis. The potentially devastating lifelong effects of the pandemic and isolation on an already vulnerable population demand that action be taken now. Video conferences and phone calls are 'essential' instruments we can use to continue to provide quality care for our patients.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".