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Rethinking Women in Leadership in the Contemporary Workplace.

2022· article· en· W4281744578 on OpenAlexaff
Abayomi Abidakun, Ebiye Agbai

Bibliographic record

VenueAfrican Journal of Engineering and Environment Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsGlass ceilingDiversity (politics)Gender diversityNarrativePublic relationsSituational ethicsNorm (philosophy)Political scienceLeadership styleLegislationEqual employment opportunityEqual opportunitySociologyGender studiesManagementCorporate governanceLawCommission

Abstract

fetched live from OpenAlex

Given the progression of women into labor market, growing concern over improved diversity in the workplace, and legislation advocating for equal opportunities for women and men, it remained a mystery why the opportunity of women into top leadership positions remains limited and why the narrative of ‘think manager think men is becoming a norm. The overarching objective of this paper is to review women in leadership positions in the contemporary workplace. This paper is conceptual in nature and based on extensive review of literature. The paper noted that women experience stumbling blocks that are becoming too tough to break and the obstructions are founded not on lack educational of qualifications, and requisite job experience, but prejudices connected to cultural, societal, organizational, individual, and situational impediments. The paper concludes that women have progressed slightly into leadership roles, but the gap is still much wider. The study recommends expanded opportunity for women into networks and gain sponsorship as a way of climbing into leadership positions. In addition, there is need for inclusive gender policy towards improving women career progression in the workplace. Keywords: Gender, Glass ceiling; Leadership, Career progression, Discrimination.

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)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.355
GPT teacher head0.307
Teacher spread0.048 · 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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