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Record W4285589993 · doi:10.1057/s41599-022-01260-y

Evaluating the effectiveness of the Kidogo model in empowering women and strengthening their capacities to engage in paid labor opportunities through the provision of quality childcare: a study protocol for an exploratory study in Nakuru County, Kenya

2022· article· en· W4285589993 on OpenAlexfundno aff
Margaret Nampijja, Patrick G. Ilboudo, Ruth Muendo, Linda Oloo, Sylvia Kiwuwa Muyingo, Elizabeth Mwaniki, Nelson Langat, Silas Onyango, Florence Sipalla, Patricia Kitsao-Wekulo

Bibliographic record

VenueHumanities and Social Sciences Communications · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsEmpowermentProductivityIntervention (counseling)Quality (philosophy)Protocol (science)Work (physics)BusinessEconomic growthEconomicsNursingMedicineEngineering

Abstract

fetched live from OpenAlex

Abstract Worldwide, there is a wide gap between what women can contribute to the economy and what they actually contribute. One of the main barriers to women’s engagement in the labor market and productivity at work is the societal expectation that they should take care of their children in addition to meeting the demands of employment. Furthermore, those in informal employment face difficulties due to long working hours and environments that are not appropriate for childcare. To address this, Kidogo runs an innovative “Hub & Spoke” model for low-income communities. Here, we present a study protocol aimed at evaluating whether the provision of quality childcare opportunities for working women through the Kidogo model is feasible and acceptable and whether it contributes to improvements in their incomes and productivity at work. The study reported in this protocol which is currently ongoing, employed a quasi-experimental design with two study arms: primary caregivers who use childcare services were recruited into the intervention ( n = 170) and comparison groups ( n = 170). Both groups are being followed up for one year. We are using a mixed-methods approach. Appropriate statistical methods including a difference-in-differences (DID) estimator will be used to analyze the effects of the intervention. We expect that the intervention will improve the quality of childcare services which in turn will improve the incomes of the center providers. We expect that providing improved childcare services will enhance women’s economic empowerment. Trial registration: PACTR202107762759962.

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 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)0.014
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.370
GPT teacher head0.469
Teacher spread0.098 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

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