Psychological Underpinnings of Career Development: Understanding the Effects of Youth Career Aspiration on Stereotypically Gendered Domains of Work
Bibliographic record
Abstract
Recruitment is of perennial importance for organizations in their efforts to maintain healthy employment levels.This issue is exacerbated for gender stereotyped domains of work (i.e., policing, transportation) where interest in gendered work is limited from gender minority populations.This research assesses a framework explicating the effect of career aspiration on ones' interest in stereotypically gendered domains of work, and it's potential mediation by stereotype threat and implicit gender bias.In a Survey of 1,230 university undergraduate students, it was found that female participants reported higher interest in female stereotyped work, and male participants reported higher interest in male stereotyped work.Interestingly, stereotype threat and implicit gender bias did not mediate this relationship.Additionally, while career aspiration, stereotype threat, and gender, directly influenced job interest in gender stereotyped work, implicit gender bias did not.Results are discussed and future directions explored.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".