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Record W3039770381 · doi:10.5430/ijhe.v9n4p310

Combatting the Imperativeness of Modernity in Students' Unrest: The Need to Decolonise the Minds through Ubuntu

2020· article· en· W3039770381 on OpenAlexvenueno aff
Bunmi Isaiah Omodan

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
Fundersnot available
KeywordsUnrestModernitySociologyTransformative learningMindsetDemocracyMedia studiesGender studiesSocial sciencePedagogyPolitical scienceLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The trajectory of students' unrest in Nigeria universities has been linked to the underside of modernity. By responding to this, the study explores conditions necessary to decolonise the mindset of university authorities and students, against modernity as an offshoot of students' unrest. Ubuntu philosophy rationalised the study while Transformative Paradigm lensed the process with the use of Participatory Action Research design. The study involved ten co-researchers, three university management staff, three students' leaders, two security personnel and two university lecturers were selected using Convenient Sampling Technique. Focus Group Discussion was employed to generate data, and the data were subjected to Conversational Analysis to make sense of the data. Students' involvement in decision-making, democratic and facilitative leadership style, were found as tools to decolonise the space of students' unrest as an underside of modernity. The reconstruction of the university system against social unrest emanating from modernity becomes expedient through Ubuntu cum decoloniality.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.067
GPT teacher head0.421
Teacher spread0.353 · 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 designObservational
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

Citations8
Published2020
Admission routes1
Has abstractyes

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