Integrated Regional Development Policy Formulation in Ethiopia
Bibliographic record
Abstract
This research aims (1) to study the practice of an Integrated Regional Development Policy Formulation (IRDPF) in Ethiopia and (2) to explore and identify the challenges of integrated regional development policy formulation in Ethiopia. The research is conducted by collecting data from 20 purposely selected key informants from both the federal and regional government sectors, political parties and community in Ethiopia. Data are collected through in-depth interviews and review of relevant documents, and systematically analyzed using content analysis technique. The results show that the practice of policymaking and IRDPF process in particular is not in line with of the law of land, in which the executive branch, particularly, the Prime Minister and ruling party’s elites are the key actor in the process at both federal and regional levels with limited consultation and participation of other House of Peoples Representatives, federal and regional policy makers, and other stakeholders. The study also identified various political, social, economic and technical challenges that affect sound and effective integrated regional development policy formulation in the country.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".