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Record W1579078526 · doi:10.5539/ass.v11n24p350

Factors Associated with Reproductive Behavior of Low Income Mothers in Kiandutu Slum in Thika Municipality, Kenya

2015· article· en· W1579078526 on OpenAlexvenueno aff
Jane N. Kieru, Lucy W. Ngige, Alice N. Ondigi

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
Fundersnot available
KeywordsReproductive healthFertilityMarital statusFamily planningSlumDemographyEthnic groupPsychologyMedicinePopulationSociologyResearch methodology

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate maternal factors associated with reproductive behavior of low income mothers in Kiandutu slum in Thika Municipality, Kenya. The family resource management model and the safe motherhood theoretical framework guided the study. A survey of 120 randomly selected mothers was conducted using simple random sampling. Data was collected using both qualitative and quantitative methods. Results showed that the level of education (p=0.000), occupation (p=0.037), income levels (p=0.040), religious affiliation (p=0.007) and attitude towards contraception (p=0.000) had significant relationship with mothers’ reproductive behavior. However, age, marital status, ethnicity contraceptive knowledge and use were not significantly related to reproductive behavior. Implications for fertility, family size, family planning, and involvement of males in reproductive health are included in the discussion. The study recommends that reproductive and sexual health education be made available to women and girls of childbearing age. This will help to empower them to take control of their own fertility.

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)0.001
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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.197
GPT teacher head0.455
Teacher spread0.259 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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