Probiotics and nutrients for the first 1000 days of life in the developing world
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
Clinically proven probiotics are, for the most part, not available in the developing world and certainly not affordable for the majority of people. This is unconscionable considering these products can alleviate diarrhoea and various infections, which are by far the major cause of death in children and in adults who are HIV positive. Indeed, some of these products have been proven in developing world settings. Distribution networks exist along with pharmacies and clinics that dispense drugs and products that require refrigeration. So, are lack of profit or company resources the problem? Our university has shown that alternative community based kitchen models that produce probiotics can be established. These empower local people, are socially responsible, produce affordable products and deliver benefits to over 3,000 children and adults daily. Surely, other institutions and corporations can multiply this effect and develop social business models across the developing world that are supported by clinical and basic science studies? In this review, we will discuss the application of probiotics and selected nutrients in the first 1000 days of life, a critical timepoint which is particularly challenging in resource disadvantaged countries.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it