Portrayals of career women in Hollywood films: implications for the glass ceiling’s persistence
Bibliographic record
Abstract
Purpose – The purpose of this study was to explore negative and stereotype-threatening depictions of career women in Hollywood films. The study draws on stereotype threat research to reflect on how such portrayals might undermine women’s career aspirations and contribute to the glass ceiling’s persistence, and proposes an agenda for future research. Design/methodology/approach – Bridging social role theories with conceptual models of films as social “texts”, the author explored depictions of 165 career women presented by 137 films, focusing on negative and potentially stereotype-threatening personal and professional characteristics and contexts. Findings – Thematic analyses of film portrayals revealed negative and stereotype-threatening characteristics and contexts of career women, including their mean and conniving personalities, promiscuity, isolation, failures at intimacy and inability to balance work and family. Research limitations/implications – Limitations include the subjective interpretations of a single author, a broad exploratory focus and no empirical evidence of connections between film portrayals and career attitudes. Researchers are encouraged to deepen analyses of film portrayals and examine linkages with stereotype threat and career behaviours sustaining the glass ceiling. Practical implications – Given the pervasive reach of the media and the potential for consumers to internalize its messages, the negative depictions documented here could bear an adverse effect on women’s career aspirations, contributing to the glass ceiling’s survival. Originality/value – Questioning the role of the media, in particular the portrayals of career women in film, provides an additional angle to understand why the glass ceiling endures.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".