Interrogating the continuing professional development policy framework in Ethiopia: a critical discourse analysis
Bibliographic record
Abstract
The continuing professional development (CPD) of teachers has increasingly come to be considered an important component of teacher policy reforms throughout much of the world. As part of its comprehensive school improvement and teacher development programmes, Ethiopia has recently developed a national policy framework on CPD for teachers. Arguing from a critical discourse analytic perspective, the present article interrogates the fundamental assumptions and discourses underpinning the framework. An argument is made that the CPD policy framework draws heavily from the discourses of school effectiveness, blame/derision and teacher centrality. As such, it provides too narrow a view of teaching as technical exercise, reconstructs the teaching profession as being one of mastering pedagogical skills, and repositions teachers both as central to educational success and as culprits for falling education standards. The discursive effects of these constructions are further discussed.
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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 | 0.045 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.018 | 0.037 |
| Scholarly communication | 0.024 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| 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".