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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0060.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.278
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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainIncentives
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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