Barriers for women to positions of power: How societal and corporate structures, perceptions of leadership and discrimination restrict women’s advancement to authority
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Women’s advancement in the corporate workplace has taken significant strides over the last century. Research demonstrates, however, that despite an increased presence of female employees in mid-management positions, executive positions continue to be male dominated. Women are underrepresented in areas of governance, directorship, and executive leadership. This seems to contradict the apparent momentum of the promotion of women. This paper will unveil some of the hidden barriers that stubbornly exist for women in business. It will review research that demonstrates why gender inequality is difficult to recognize, the systems that perpetuate it, the complexities of how society views it, and the ways women respond to it. By understanding the interplay between external and internal obstacles, women who wish to assume positions of leadership can more easily navigate the labyrinth of gender inequality, and their male colleagues can better recognize the ways that they can either remove barriers or encourage equality. There are corporate, social and economic benefits to allowing women to fairly advance to positions of power. Recognizing and removing barriers is vital to the strength of companies, social networks and jurisdictions.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it