Exploring the Career Pipeline: Gender Differences in Pre-Career Expectations
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
The pipeline theory suggests that increasing the number of women in male-dominated fields should lead to more equality in the labour market. This perspective does not account for differences in the expectations of men and women within the pipeline, which may serve to perpetuate inequities. This study explores the differences in the choice of academic preparation, career expectations, and career priorities of 23,413 pre-career men and women using a large sample of Canadian post-secondary students who are about to embark on their first careers. Our results indicate that, although women are increasingly entering male-dominated fields such as science/engineering and business, they continue to have lower salary expectations and expect a longer time to promotion than their male counterparts. That said, young women in male-dominated fields reported higher salary expectations than those in female-dominated fields. Additionally, young women indicated a preference for beta career priorities (e.g., work/life balance) that are associated with lower salaries, while men indicate a preference for alpha career priorities (e.g., build a sound financial base) that are associated with higher salaries. Our study also found that although women are entering the pipeline for male-dominated fields in greater numbers, it does not necessarily result in more equality for women in the labour market. We conclude that the inequities in the labour market are evident within the pre-career pipeline in the form of gendered expectations. We recommend a number of interventions that might address the expectation gap and therefore improve gender equity in the labour market.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it