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Record W7000538130

An exploration of career experiences of women university presidents in China

2012· other· en· W7000538130 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Canberra Research Portal · 2012
Typeother
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsCareer developmentChinaHigher educationCareer PathwaysLeadership development
DOInot available

Abstract

fetched live from OpenAlex

Academic leadership development has now become a critical issue in higher education globally. Leaders with exceptional capabilities are needed to help higher education institutions meet extraordinary challenges in the changing times. There is also an urgent need for women academics to play increasingly important roles in terms of providing effective and high calibre leadership and management. A better understanding of women university presidents’ career experiences is of great value in meeting these challenges.\nA review of the existing literature suggests highly varied experiences and very diverse pathways which women academic leaders have taken. Some research on women academic leaders has been conducted mainly in English-speaking Western countries such as USA, United Kingdom, Australia and Canada. The review of relevant literature has concentrated largely on career pathway, career development, career barriers, and career challenges of women academic leaders in Western universities. Some important gender perspectives, such as, gender identity, difference and equity, have been taken into account in explaining the career experiences of women academic leaders. However, limited research has examined careers of senior women academic leaders in China’s higher education. There arises a need for exploring career experiences and development of Chinese women academic leaders who have attained high leadership positions, such as university presidents. This research aims to address the gap identified in the literature and give due recognition to the role of women academic leaders in the contemporary China’s higher education. This research aims to provide insights into Chinese women university presidents’ careers and their interpretations of those experiences, particularly related to development of knowledge, skills, and competencies required for successful leadership. The fundamental approach is to gain a deeper understanding of their career experiences and the meanings they attached to these experiences. The nature of this qualitative research is exploratory. Women presidents from elite universities in China participate in this research through in-depth interviews. Participants reflect and tell stories of their career experiences in the context of their own life circumstances and realities. This research seeks to contribute to the field of educational leadership by exploring women university presidents’ career experiences in China. The research into their experiences is expected to provide a deeper understanding of Chinese women academic leaders and inform future research on women academic leadership development in other cultural contexts.\nThe researcher’s articulation through rich stories of women’s leadership experiences is both moving and telling. This is a contribution that promises to transform both the leading of universities and the preparation of those who will lead them. This study examines the special qualities that women bring to leaderships roles and show how these attitudes, characteristics, and capacities can be used to improve the practice and training of educational leadership for women. The themes are illustrated throughout by insightful narratives of women presidents. The researcher identifies and explores the essence of leadership grounded in women’s experiences and bridged the gap between China and Western countries. Out of these women’s career experiences is an intriguing exploration of leadership and management that holds the promise of initiating significant and positive changes.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.187
GPT teacher head0.359
Teacher spread0.172 · 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.

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
Published2012
Admission routes1
Has abstractyes

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