Childhood Risk of Parental Absence in Tanzania
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
Although parents might not live with their children for a variety of reasons, existing accounts of parental absence often examine one cause in isolation. Using detailed longitudinal demographic surveillance data from Rufiji, Tanzania, this article examines parental absence due to death, migration, child relocation, union dissolution, and union formation from 2001-2011. Employing survival analysis, the article quantifies children's risk of absence by cause and investigates sociodemographic variation in this risk. Of children born into two-parent households, 25% experience maternal absence by age 10, and 40% experience paternal absence by the same age. Roughly one-quarter of children are born into single-mother families with an absent father at birth, and nearly 70% of these children experience maternal absence as well by age 10. Despite the emphasis on orphanhood in the research and policy communities, parental death is the least common cause of absence. Furthermore, although demographic and socioeconomic characteristics are strong predictors of absence, variation in these relationships across causes underscores the distinctiveness and similarity of different reasons for absence.
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) | 0.000 | 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 it