The Saudi Tatweer Education Reforms: Implications of Neoliberal Thought to Saudi Education Policy
Bibliographic record
Abstract
The King Abdullah Public Education Development Project or the ‘Tatweer’ education reforms were created to improve the quality of teaching and learning in Saudi Arabia. It was a response to develop generations of Saudis who would contribute to the economic well-being of the nation. The Saudi Tatweer education reforms have been important in highlighting questions about power, globalisation and divergence. Therefore, set against a background of neoliberal discourse, I will assess the influences and impact of the drivers within Tatweer – a seemingly market-driven set of education reforms. With reference to Foucauldian thought on power and governance, I will also raise some questions on whether the Tatweer reforms were rigorous and effective enough in improving the level of education within the Saudi context. Finally, I will consider the importance of Ball’s (2003) perspective on performativity, and how market forces and international influence have impacted on Saudi education policy reform.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".