The promise of POSIT: Real-world application of the Paediatric Oncology System Integration Tool
Bibliographic record
Abstract
Childhood cancer presents significant acute and long-term challenges for patients,families, communities, and health systems. Although meaningful strides have been made in research and treatment, severe outcome disparities prevail between low- and middle-income countries (LMICs) and high-income countries (HICs), with childhood cancer survival rates lower than 20% in LMICs, as compared with over 80% across many HICs. In recent years, greater emphasis has been placed on health system strengthening as a means to develop domestic policy and capacity for sustainable improvements in childhood cancer outcomes in LMICs. In pursuit of a systems approach to childhood cancer in LMICs, our research team developed the Paediatric Oncology System Integration Tool (POSIT)-the first comprehensive framework for the design and evaluation of childhood cancer systems. Since its development, POSIT has been applied in an exploration of key determinants of access to essential childhood cancer medicines across two separate multi-site studies. In this commentary, we explore the value of the POSIT framework and toolkit as a constructive systems-level guide for examining interactions between childhood cancer-specific programs and encompassing health system. socio-political, and economic contexts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".