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Record W2055048771 · doi:10.1177/1477878512459393

Power, knowledge and politics: Exploring the contested terrain of girl-focused interventions at the national launch of the United Nations Girls’ Education Initiative in The Gambia

2012· article· en· W2055048771 on OpenAlexafffund
Caroline Manion

Bibliographic record

VenueTheory and Research in Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversité de Montréal
FundersCanada Research ChairsUNICEF
KeywordsHuman rightsPoliticsEconomic growthEducation policyPolitical scienceSociologyGovernment (linguistics)Global educationPublic policyPublic administrationPublic relationsHigher educationEconomicsLaw

Abstract

fetched live from OpenAlex

Gender equality in education has become a highly embedded norm in global development policy, as well as within the poverty reduction and national development policies of aid recipient countries. Despite such progress, however, we know little about the significance of competing gender equality and education policy orientations (e.g., human capital, human rights, human capabilities), especially in relation to the power and political dynamics at work in the enactment of global gender equality in education policies in national policy spaces. This article addresses these gaps in the literature through a qualitative examination of girls’ education policy in The Gambia, a country widely hailed as a leader in the promotion of gender equality in education. I use an analysis of the produced knowledge of World Bank and government documents alongside the findings from an ethnographic account of the United Nations Girls’ Education Initiative (UNGEI) national launch workshop in The Gambia to illustrate my central claim that girls’ education policy, on the ground, is more complex and contested than is suggested in the produced knowledge of donor and government documents. Moreover, my account of the UNGEI launch workshop serves to highlight some of the challenges and tensions associated with the global–national interface of efforts to promote gender equality in education.

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)0.010
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
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 head0.161
GPT teacher head0.449
Teacher spread0.288 · 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

Citations14
Published2012
Admission routes2
Has abstractyes

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