MétaCan
Menu
Back to cohort
Record W4412176404 · doi:10.1007/s11125-025-09732-0

Endogenous systems leadership of education provision during crises in low- and middle-income countries: A conceptual framework

2025· article· en· W4412176404 on OpenAlex
Rafael Mitchell, Jennifer Jomafuvwe Agbaire, Julia Paulson, Leon Tikly

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProspects · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of BristolEuropean Commission
KeywordsConceptual frameworkEconomic growthPolitical scienceLow and middle income countriesDeveloping countryEconomicsDevelopment economicsSociologySocial science

Abstract

fetched live from OpenAlex

Abstract This article advances the case for an ‘endogenous systems leadership’ approach to the provision of inclusive and equitable quality education for all in times of crisis. It draws on theoretical work which addresses complexity in education systems, systems leadership in education, coloniality within education, and international partnerships in low- and middle-income countries (LMICs) to propose an endogenous systems leadership framework. This is developed and illustrated with reference to three UNESCO International Institute for Educational Planning (IIEP) case studies on the leadership of education during crisis, in Burkina Faso, Jordan, and Kenya, respectively. The framework incorporates the recognition of education as a complex system and responds to the need to democratize governance for inclusive and equitable provision. The article identifies opportunities for national and international actors in LMICs to deliver on such an approach through heuristics to inform dialogue and decision-making in relevant policy, practitioner, and research communities.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.035
GPT teacher head0.288
Teacher spread0.253 · 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