The constellations of child fostering in Kenya: Considering location and distance
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
BACKGROUNDWhile studies provide context on why mothers foster-out children, there is little discussion about where children reside, transitions in children's living arrangements over time, distance between fostered children and their mothers, and how such distance might influence mothers' relationships with children. OBJECTIVESWe aimed to: (1) examine the geographical location of fostered children and distance from mothers, (2) establish who fosters children and the mothers' relationships with caregivers, (3) determine transitions in children's fostering arrangements, including mobility within kin networks, and (4) explore mothers' perceptions of distance, location, and barriers to contact with fostered children.https://www.demographic-research.orgpossibility of narrowing the focus to collect more insightful data.It provides evidence on fostering experiences while accurately capturing children's transitions over time and within kin networks.The study paints a more complete picture of child fostering complexities and how they rely on the constellations of available kin.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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