The Influence of L2 English on Attitudes Towards Gender-Neutral Job Titles
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 examines the influence of L2 English on attitudes towards gender-neutral job titles. It aims to determine whether language influences perceptions of job titles. Data were collected via questionnaires from 67 participants aged 18-26 years, comprising American English native speakers, Arabic native speakers, and Kuwaiti learners of English. Results indicate that high-proficiency English learners tend to neutralize job titles instead of assigning gender markers, a behavior which is influenced by their exposure to English and cultural attitudes towards gender equality. Most native English speakers used neutral job titles instead of gender assignments. The two control groups demonstrated a significant difference in their responses, with Arabic monolinguals assigning gender markers based on the dominant gender in a particular profession. Additionally, language background and demographics affected these results. Attitudes towards gender markedness in job titles has received little attention from scholars studying Arabic–English bilinguals. Therefore, this study contributes to the literature by exploring attitudes towards gender markedness in job titles.
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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 | 0.001 | 0.151 |
| 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 | 0.000 |
| Open science | 0.001 | 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