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Record W4220693935 · doi:10.52214/cice.v24i1.8853

Decolonizing Madrassa Reform in Pakistan

2022· article· en· W4220693935 on OpenAlexaff
Izza Tahir

Bibliographic record

VenueCurrent Issues in Comparative Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsColonialismCurriculumInstitutionalisationIndependence (probability theory)IdeologyEducation reformPolitical scienceColonial ruleNational curriculumPublic administrationEconomic growthSociologyHigher educationPoliticsLawEconomics

Abstract

fetched live from OpenAlex

Pakistan has been engaged in the project of madrassa reform since the early days of its nationhood. Since gaining independence from Britain in 1947, successive Pakistani governments have introduced a series of reforms aimed at regulating and reforming the madrassa sector, but the repeated failure of these efforts suggests the presence of some systemic barrier to reform. This article looks at the history of the madrassa in South Asia under British rule, and raises the question of how this colonial experience has shaped madrassa reform in post-colonial Pakistan. It highlights three key policy interventions of the British in the education sector, namely the 1835 Minute of Lord Macaulay, the 1854 Educational Despatch of the Court of Directors of the East India Company, and the formal institutionalization of higher education, to show that the cumulative effect of these policies was the creation of an ideological binary which bifurcated the education system. It argues that by institutionalizing a singular conception of education, this colonial legacy has impacted key madrassa reform efforts undertaken by Pakistan in 1962, 1979 and 2001/02. The article concludes with a discussion of the necessity of decolonizing future reform efforts such as the national curriculum reform—the introduction of the Single National Curriculum—that Pakistan is currently embarking upon.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.475
Teacher spread0.382 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2022
Admission routes1
Has abstractyes

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