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Record W4380520890 · doi:10.6000/1929-4409.2020.09.19

Fundamentals of an African-Centred Syllabus in Higher Education in the Post-Colonial Era: The Tehuti Perspective

2022· article· en· W4380520890 on OpenAlexvenueno aff
Ntokozo Christopher Mthembu

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
FundersUniversity of South Africa
KeywordsPerspective (graphical)SociologySyllabusPoliticsEpistemologyValue (mathematics)NarrativeTraditional knowledgeIndigenousColonialismCultural knowledgeSocial sciencePolitical sciencePedagogyLawLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Socio-political change in South Africa, also known as Azania,1 brought about the high hopes and opportunities, especially among the black African majority, in this instance, the recognition and revitalisation of their knowledge systems, in particular, in the learning sphere. The name, Azania becomes more relevant in this discussion, as it divulges the basis of indigenous African knowledge and related methodology systems, specifically on issues that encompass knowledge creation, categorisation and classification of events and circumstances. Nevertheless, the review of literature on the significance of aspects of African knowledge creation such as Tehuti perspective is revealed in this instance. This manuscript posits that diverse paradigms often influence the research approach in a particular milieu. It also suggests that the Tehuti perspective will facilitate the eradication of stereotyping imposed by the narrow cultural perspective in the social sphere including education, especially when it comes to research approach. It concludes by highlighting the need for consideration of diverse knowledge value systems, in particular, when dealing with narratives as indicative of a particular milieu rather than a prescriptive.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.351

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 studies0.0000.001
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 head0.104
GPT teacher head0.370
Teacher spread0.266 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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