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Record W2908356926 · doi:10.5539/ass.v15n1p8

An Overview of Glass Ceiling, Tiara, Imposter, and Queen Bee Barrier Syndromes on Women in the Upper Echelons

2018· article· en· W2908356926 on OpenAlexvenueno aff
Sabirah Ambri, Lokman Mohd Tahir, Rose Alinda Alias

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsGlass ceilingPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The increasing women participation in the upper management level has been a comprehensive research study for women and career studies. Although only a few of them have had successfully broken the glass ceiling, they still have to struggle to keep up with the opposite gender. The purpose of the research study is to review past research studies on the glass ceiling syndrome, tiara syndrome, imposter syndrome, and queen bee barrier syndromes that commonly occur in women’s career progression and understand how it affects women’s career success. This paper reports the results of a literature review on four barrier syndromes in 45 combinations of research paper, books, magazine, thesis and discussion paper. Women need to have skills and ability in order to be leaders of upper management. The result of the study could provide a better understanding of the barriers that effects the women leaders in becoming successful. Thus, this research is conducted to gather and review the literature on the barrier syndromes and how it affects women’s success in their careers.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.001
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 head0.091
GPT teacher head0.361
Teacher spread0.270 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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