Early Childhood Development and Education (ECDE) System Coherence in Ethiopia: A Critical Analysis
Bibliographic record
Abstract
Coherence in education refers to alignment among systems as well as a mindset andcollective approach that consciously addresses fragmentation among systems, agentsand responsibilities. Effective ECDE design and delivery then calls for coherence, withinand among its various systems and subsystems, towards children’s holistic learning anddevelopment. This paper attempts to conduct systemic analysis of these coherences in theECDE system in Ethiopia employing a blend of four interrelated models: ‘the WholeChild Approach’, ‘the Complexity Theory’, ‘the Coherence Making Model’, and ‘theProgram Implementation Fidelity Model’. The analysis unveils that the ECDE system inEthiopia seems incoherent for holistic learning and development. Children’s holisticlearning and development outcomes appear insufficient mainly because of policy,implementation, and leadership incoherencies. The paper concludes with the need for asystem overhaul to address fragmentation and work toward greater coherence.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".