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Record W1987292451 · doi:10.1525/maq.2000.14.2.224

Caretakers, Child Care Practices, and Growth Failure in Highland Ecuador

2000· article· en· W1987292451 on OpenAlexaboutno aff
James P. Stansbury, William R. Leonard, Kathleen M. DeWalt

Bibliographic record

VenueMedical Anthropology Quarterly · 2000
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsUnderweightMalnutritionContext (archaeology)PovertySiblingMedicineWastingQuarter (Canadian coin)Environmental healthPsychologyPediatricsNursingDevelopmental psychologyGeographyPolitical scienceOverweightBody mass index

Abstract

fetched live from OpenAlex

Problems for child health have been attributed to child and sibling caretaking. Nevertheless, our data from highland Ecuador suggest an ambiguous relationship between growth failure and the practice of peer care. In a region where levels of chronic undernutrition as measured by stunting exceed 75 percent and fully one-quarter of children under five are underweight, analysis of structured observations of a sample of 28 children reveals no statistical association between growth indices and the practice of older children caring for younger children. Qualitative data, however, indicate that the practice can be a complication in specific cases where children already suffer compromised health. While the advantages or disadvantages associated with particular caretakers appear secondary to the risks attending inadequate diets or the broader environment of rural poverty, the potential for difficulties to emerge from peer care suggests that community day care provides a valuable alternative in this context.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.278
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2000
Admission routes1
Has abstractyes

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