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The Role of Leadership, Financing and Academic Promotion toward Research Culture in Malawi’s Higher Education Institutions

2022· article· en· W4313070625 on OpenAlexaboutno aff
Dennis John Rabson Matekenya

Bibliographic record

VenueEAST AFRICAN JOURNAL OF MANAGEMENT AND BUSINESS STUDIES · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsNonprobability samplingCronbach's alphaPromotion (chess)Higher educationPsychologyInternal consistencyPerceptionMedical educationPublic relationsPolitical scienceSociologyMedicinePopulation

Abstract

fetched live from OpenAlex

The study sought to establish the role of leadership, financing and Academic Promotion toward research culture in Malawi’s Higher Education Institutions. The study used the quantitative approach and particularly the descriptive correlational design whereby items in the questionnaire were in numbers for determining the perception of respondents and relating variables under investigation. The study used purposive convenient sampling method to identify 112 researchers from various countries including Malawi, Kenya, United States and Canada who had taught in Malawian Higher learning institutions to fill the questionnaire. The results of the Cronbach’ alpha was .750 indicating high internal consistency of the instrument and the KMO measure of sampling adequacy was .739 which indicate that the instrument was valid and reliable. The study concluded that promotion into higher academic ranks is a better and significant predictor for research culture. If universities provide research-based promotions up the academic ladder, then the research culture would be realized and enhanced.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.278
GPT teacher head0.419
Teacher spread0.142 · 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 designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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