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Record W2609081203 · doi:10.5539/ies.v10n5p61

The Saudi Tatweer Education Reforms: Implications of Neoliberal Thought to Saudi Education Policy

2017· article· en· W2609081203 on OpenAlexvenueno aff
Bilal M. Tayan

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsPerformativityNeoliberalism (international relations)Corporate governanceGlobalizationEducation policyContext (archaeology)Divergence (linguistics)Higher educationPolitical scienceComparative educationPower (physics)Economic growthPublic administrationSociologyPolitical economyEconomicsManagementGender studiesGeography

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.020
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.047
GPT teacher head0.472
Teacher spread0.425 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations38
Published2017
Admission routes1
Has abstractyes

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