MétaCan
Menu
Back to cohort
Record W2553420965

Behind Barbed Wire Fences: Higher Education and Twenty-first Century Teaching in Dadaab, Kenya

2016· article· en· W2553420965 on OpenAlexaboutno aff
Farhia A. Abdi

Bibliographic record

VenueHIMALAYA · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsnot available
Fundersnot available
KeywordsKenyaRefugeeIndependence (probability theory)IndigenousTeacher educationPolitical scienceColonialismEconomic growthSociologyPedagogyLaw
DOInot available

Abstract

fetched live from OpenAlex

Since the independence movements of the 1960s, educators concerned about the aims of education in Africa have urged African governments to reform formal education systems inherited from European colonizers. The contention here is that colonial education devalued African “traditional epistemology and philosophies” (Abdi, A. A. 2012) and that newly independent African countries need to adopt “indigenous approaches to education” if education is to bring about sustainable development (Owuor 2012). Teachers and teacher education programs are at the center of this project as they are seen as the “hub of transformational education” (Nsamenang and Tchombe 2011). However, this “Africanization” project has failed because “the institutional framework established by colonial governments was left largely intact” (Nungu 2012) and teacher education in many parts of Africa is currently in crisis (Sifuna and Sawamura 2010). Thus, Musembi Nungu (2012) calls for teacher education that is grounded in African epistemology, and the “re-culturing” of teacher education in Africa. This article focuses on a teacher education program offered to refugees and local Kenyan nationals in Dadaab, Kenya by a consortium of Canadian and Kenyan universities. Education for refugees brings new challenges to the discourse about the relevance of education in Africa. The nature of refugee education is such that it puts the schooling of those displaced in the hands of global actors. The reality is that for the 3.7 million African refugees displaced in Sub-Saharan Africa (UNHCR

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.710

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.305
Teacher spread0.292 · 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 designNot applicable
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

Citations27
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueHIMALAYASame topicEducation and experiences of immigrants and refugeesFrench-language works237,207