MétaCan
Menu
Back to cohort
Record W3117505736 · doi:10.1163/25902539-02040006

Decolonizing Knowledge, Education and Social Development: Africanist Perspectives

2020· article· en· W3117505736 on OpenAlexaff
Ali A. Abdi

Bibliographic record

VenueBeijing international review of education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismModalitiesSociologyPersonaPolitical scienceSocial scienceHumanitiesLaw

Abstract

fetched live from OpenAlex

Abstract Education is viewed, in general terms, as conductive to social development, intended her as the overall and contextual wellbeing of individuals, communities and societies. Both the ideational and select practices of development emerged and expanded in the past 70 or so years. With colonial education continuing unchallenged in ‘postcolonial’ Africa, complemented by the importation of prepackaged, non-functional development schemes, the need for knowledge and learning reconstructions are urgently needed in the continent. It is with that in mind that this paper undertakes both historical and actual analysis of the situation, beginning with the critical readings and relevant analytical, counter-colonial problematizations of Eurocentric and by extension, monocentric modalities of knowledge, education and development. To be sure, the arbitrary constructions of both the terra and persona Africana by European and Euro-American thought leaders who served as the theoretical vanguards for colonialism and contemporary global capitalist domination has led to, and sustains the current situation with respect to African educational and social development contexts. The appreciation of the historical analysis here, as critically attaching to current situations, is important in achieving the needed counter-Eurocentric discursive formations and related reconstructive educational and development possibilities.

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)0.001
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: none
Teacher disagreement score0.865
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.029
GPT teacher head0.392
Teacher spread0.363 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBeijing international review of educationSame topicGlobal Educational Policies and ReformsFrench-language works237,207