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Recentering the Philosophical Foundations of Knowledge: The Case of Africa With a Special Focus on the Global Role of Teachers

2010· article· en· W292457829 on OpenAlexaffvenue
Ali A. Abdi

Bibliographic record

VenueAlberta Journal of Educational Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSociologyMulticulturalismEpistemologySpace (punctuation)Corporate governancePsychosocialEnvironmental ethicsPedagogyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

The historical and actual marginalizations of African thought systems and knowledge constructions have been expansively responsible for the effectiveness of the dominant educational and governance systems imposed on Africa. The idea as well as the practice of these realities would conform to what Said (1993), Fanon (1967, 1968), and Memmi (1991) have called the cultural and psychosocial colonizations of both the physical and mental spaces of the conquered. The reality also speaks about the role of Europe’s most important thinkers such as Kant, Hobbes, and Voltaire, who all directly or indirectly paved the way for the projects of “de-philosophization” and “de-epistemologization” that still affect people’s lives. With the emergence of new cosmopolitanisms now creating highly multicultured societies in especially the so-called liberal democracies of the West, new contexts have also emerged of what one might counterintuitively call the “multiculturalization of knowledge marginalizations.” Thus there is an urgent need to aim for knowledge and learning multicentricities that both theoretically and pragmatically rewrite the learning trajectories of both the old colonized space and the new, still alienating multicultural classrooms. This article engages the historical and actual problematizations of the case and suggests some ideas for better possibilities that could enhance the schooling lives of current globally located learners.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.427
Teacher spread0.358 · 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.

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

Citations9
Published2010
Admission routes2
Has abstractyes

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