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Record W4404821066 · doi:10.1108/ijem-09-2023-0439

Decolonizing management education: a bibliometric analysis of Ubuntu

2024· article· en· W4404821066 on OpenAlex

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

VenueInternational Journal of Educational Management · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsHigher educationSociologyPolitical science

Abstract

fetched live from OpenAlex

Purpose The increasing calls to integrate Indigenous perspectives and address the colonial foundations of business schools necessitate a profound shift in educational systems. Such a change mandates a transformation that acknowledges diverse knowledge systems and methodologies, moving beyond the dominant Western paradigms. Design/methodology/approach Our paper introduces the Africentric philosophy of Ubuntu and explores its potential to decolonize management education and support the development of inclusive classrooms. Ubuntu, encapsulated by the notion “I am because you are”, asserts the intrinsic interconnectedness of humanity. Our exploration of Ubuntu includes a bibliometric analysis to map the intellectual structure of Ubuntu within management and educational contexts. Findings We posit that Ubuntu has the potential to offer newer perspectives on personnel and organizational management that are human-centric and emphasize the common good. The results of the bibliometric analysis reveal key publications, influential scholars, institutions and leading journals actively engaged in Ubuntu-centric research along with key research trends. Originality/value This research offers a holistic view of Ubuntu research in the fields of management and education using a bibliometric method.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0240.033
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.394
Teacher spread0.361 · 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