Why are Women Underrepresented in IT? The Role of Implicit and Explicit Gender Identity
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
This study demonstrates that gender identity is an important factor affecting female university students' decisions to major in IT and join the IT profession. It introduces the concept of implicit gender identity, defined as the degree to which people unconsciously, automatically, and uncontrollably associate themselves with their biological sex. Data were obtained from 185 students by means of a survey and the Implicit Association Test. The findings reveal that gender identity plays different roles between men and women in its influence on IT major and career choices. Implicit gender identity is a strong predictor of IT major and career choices for women but not for men. Explicit gender identity influences IT career choice only for women. Males' and females' IT major and career choices are influenced by normative pressures to the same degree. This study shows that gender identity can be a reason driving women away from the IT field.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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