Organisational practices supporting women's career advancement and their satisfaction and well‐being in Turkey
Bibliographic record
Abstract
Purpose The purpose of this study is to examine the relationship of the perceived presence of organisational practices designed to support women's career advancement and their work attitudes and satisfaction and their psychological well‐being. Design/methodology/approach Data were collected from 286 women in managerial and professional jobs working in a large Turkish bank, a 72 percent response rate. Five organisational experiences were considered: negative attitudes towards women, equal treatment, support, career barriers and male standards. Findings Women reporting more supportive organisational experiences and practices were more engaged in their work, more job and career satisfied, and indicated greater levels of psychological well‐being. Research limitations/implications Data were collected at one point in time making it difficult to determine causality. It is important to replicate the study in other industries and countries to verify the generalizability of the conclusions. Practical implications Identifies career supports and obstacles and offers guidance for organisations interested in supporting women's career advancement. Originality/value This study contributes to understanding of the role of work life experiences in women's work satisfaction and psychological well‐being.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".