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Record W3171131117 · doi:10.1108/gm-04-2020-0137

Review of research for two decades for women leadership in higher education around the world and in Vietnam: a comparative analysis

2021· article· en· W3171131117 on OpenAlexaboutno aff
Greeni Maheshwari, Rajkishore Nayak, Tu Ngyyen

Bibliographic record

VenueGender in Management An International Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentOriginalityVariety (cybernetics)Higher educationPolitical scienceValue (mathematics)Economic growthSocial sciencePublic relationsSociologyQualitative researchEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to find the studies conducted on women leadership in higher education (WLHE) in the past 20 years to understand as to how the trend has changed over the past two decades around the world and particularly in Vietnam for women leaders in higher education institutions. Design/methodology/approach This paper used a systematic review of 93 articles published in the past 20 years in WLHE. The articles were classified based on the country of research and the research methods used. Findings The study concluded that most of the research in WLHE had been done in the USA and Canada, with a dearth of literature on WLHE in Asia, and only six studies so far have been done in Vietnam, with only two studies being done before 2017. Vietnam is gaining importance in research in WLHE may be because of the increased female labour participation rate and growth in the gross domestic product. Practical implications This study provided some recommendations at the societal, institutional and individual levels, which can help in women empowerment and help women take up the leadership roles. Originality/value Although a variety of reviews have been conducted focusing on different areas in higher education, there is a small number of literature review studies in the field of women leaders in higher education, especially in Vietnam and Asia. Hence, the current study will add this missing part to the growing body of literature in WLHE.

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)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.684
GPT teacher head0.525
Teacher spread0.158 · 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

Citations33
Published2021
Admission routes1
Has abstractyes

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