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Record W1555414947 · doi:10.1108/17542410810878086

Still a man's world

2008· article· en· W1555414947 on OpenAlexaff
Ronald J. Burke, Mustafa Koyuncu, Lisa Fıksenbaum

Bibliographic record

VenueGender in Management An International Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyPerceptionOriginalityJob satisfactionTurkishValue (mathematics)Social psychologyApplied psychology

Abstract

fetched live from OpenAlex

Purpose Although qualified women are entering professional and managerial ranks within organizations, they continue to have difficulties in advancing their careers. It has been suggested that the biggest obstacle to women's career advancement lies in the attitudes, biases and prejudices of their male colleagues and their organizational cultures. The purpose of this paper is to examine the relationship of perceptions of organizational bias among managerial and professional women and their work satisfactions and levels of psychological well‐being. Design/methodology/approach Data were collected from 215 women, a 67 percent response rate, using anonymously completed questionnaires. Respondents worked for a large Turkish bank that had offices in several cities. Findings Women reporting greater perceptions of bias indicated less job satisfaction, lower levels of work engagement and higher levels of job stress; perceptions of bias were not related to intentions to quit however. In addition, women reporting greater perceptions of organizational bias indicated higher levels of exhaustion but these perceptions were unrelated to levels of self‐reported psychosomatic symptoms. Interestingly, more educated women reported higher levels of perceived organizational bias. Research limitations/implications Implications for women's job performance and career advancement as well as suggestions for addressing potential gender bias are offered. Originality/value The paper adds to knowledge about the work and career experiences of women in Turkey and the challenges they face.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.214
GPT teacher head0.355
Teacher spread0.141 · 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.

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

Citations70
Published2008
Admission routes1
Has abstractyes

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