Weighed down by development: Reflections on early childhood care and education in East Africa
Bibliographic record
Abstract
Abstract This paper is based on qualitative research undertaken in West Nile Uganda and Coastal Kenya as part of a broader development project. A wide range of stakeholders, including government officials, parents, and early childhood practitioners were involved in sharing their perspectives of what life is like for young children (birth to age 8) in their homes, communities, and institutions. Data gathered were then brought back to community members to solicit action plans. The author brings to the data her reflections and lived experience as a mzungu (white person) brought to the region under the guise of development work and the ethical issues that ensued. It was clear that minority world discourses and conceptions of what constitutes a good life for children had permeated the value systems and goals of many adults in this majority world context. However, when challenged to think deeply about the systemic issues affecting their children, participants began to see the importance of finding ways to meld indigenous values, beliefs, and practices with the globalization agenda.
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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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.025 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".