Asociación de Hemato-Oncología Pediátrica de Centro América (AHOPCA): A model for sustainable development in pediatric oncology
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
Bridging the survival gap for children with cancer, between those (the great majority) in low and middle income countries (LMIC) and their economically advantaged counterparts, is a challenge that has been addressed by twinning institutions in high income countries with centers in LMIC. The long-established partnership between a Central American consortium--Asociación de Hemato-Oncología Pediátrica de Centro América (AHOPCA)--and institutions in Europe and North America provides a striking example of such a twinning program. The demonstrable success of this endeavor offers a model for improving the health outcomes of children with cancer worldwide. As this remarkable enterprise celebrates its 15th anniversary, it is appropriate to reflect on its origin, subsequent growth and development, and the lessons it provides for others embarking on or already engaged in similar journeys. Many challenges have been encountered and not all yet overcome. Commitment to the endeavor, collaboration in its achievements and determination to overcome obstacles collectively are the hallmarks that stamp AHOPCA as a particularly successful partnership in advancing pediatric oncology in the developing world.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 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 it