Exploring Adoption of Inclusive Home-Based Early Childhood Development and Learning in Marginalised Rural Communities in Zimbabwe
Bibliographic record
Abstract
Zimbabwe adopted a policy for compulsory enrolment of 3 to 5 year-olds in ECD 'A' and 'B' grades in primary schools. However, some eligible children are not attending these classes for reasons which include poverty, disability and lack of special education needs constituting marginalisation. The current study sought to evaluate community knowledge about inclusive home-based Early Childhood Development programmes, assess rural communities' attitudes towards the establishment of inclusive home-based ECD programmes and identify practices that can be used to sustain inclusive home-based ECD programmes in selected rural communities in Zaka and Bikita districts in Masvingo province. Data were collected from 60 purposively sampled participants comprising 30 parents of children without known disabilities, 12 caregivers, six (6) ECD teachers, and 12 parents of children living with disabilities. Data were analysed through thematic content analysis. Findings showed that parents support the establishment of inclusive home-based ECD centres to increase access and promote inclusion of children with disabilities and that parents have the will and capacity to implement and sustain the centres. However, it was also apparent that communities need capacity building on how to manage the centres. The research recommends the establishment of centres that are managed by parents and supervised by ECD experts in local primary schools in the marginalised areas. These centres need to be monitored and evaluated for standardisation. This model has the capacity to increase access to ECD opportunities for children in marginalised areas and needs to be prioritised.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".