Opting Out or Denying Discrimination? How the Framework of Free Choice in American Society Influences Perceptions of Gender Inequality
Bibliographic record
Abstract
American women still confront workplace barriers (e.g., bias against mothers, inflexible policies) that hinder their advancement at the upper levels of organizations. However, most Americans fail to recognize that such gender barriers still exist. Focusing on mothers who have left the workforce, we propose that the prevalent American assumption that actions are a product of choice conceals workplace barriers by communicating that opportunities are equal and that behavior is free from contextual influence. Study 1 reveals that stay-at-home mothers who view their own workplace departure as an individual choice experience greater well-being but less often recognize workplace barriers and discrimination as a source of inequality than do mothers who do not view their workplace departure as an individual choice. Study 2 shows that merely exposing participants to a message that frames actions in terms of individual choice increases participants' belief that society provides equal opportunities and that gender discrimination no longer exists. By concealing the barriers that women still face in the workplace, this choice framework may hinder women's long-term advancement in society.
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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 | 0.008 | 0.010 |
| 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 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".