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Validación de escalas de seguridad alimentaria y de apoyo social en una población afro-colombiana: aplicación en el estudio de prevalencia del estado nutricional en niños de 6 a 18 meses

2005· article· es· W2051398157 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCadernos de Saúde Pública · 2005
Typearticle
Languagees
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologySocial supportCronbach's alphaScale (ratio)Food insecurityMalnutritionGerontologyDevelopmental psychologySocial psychologyMedicinePsychometricsGeographyFood securityCartography

Abstract

fetched live from OpenAlex

We conducted a cross-sectional study on 193 mothers of children 6 to 18 months of age in an African-Colombian community, with the objectives: (1) to adapt and validate the Community Childhood Hunger Identification Project scale, the DUKE-UNC-11 social support scale, and the Quebec Longitudinal Study of Child Development (QLSCD) partner support scale, and (2) to identify any existent relationship between nutritional status in infancy and both food insecurity and social support. We determined construct validity using factor analysis and theoretical models-based non-parametric correlations. Length-for-age and weight-for-length Z-results were calculated. Factor analyses reduced the hunger scale to one factor, the DUKE-UNC-11 scale to two factors, and the QLSCD scale to one factor. The Cronbach's alpha test ranged between 0.70 and 0.90. Both food insecurity and social support scales were correlated with mother's social conditions, and social support was positively associated with social networks and mother's self-perceived health status. Food insecurity, emotional-social support, and partner's negative support were associated with lower height-to-age and therefore a higher ratio of chronic malnutrition. The study supports the appropriateness of the instruments to measure the expressed concepts.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.064
GPT teacher head0.428
Teacher spread0.363 · 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