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
Genderwashing is an organizational tool that presents the myth of gender equality in organizations through discourse and text. To critique this organizational myth, this paper contributes a new perspective and theoretical definition for genderwashing. We outline how genderwashing activities are underpinned by economic over ethical motives, which are grounded in a desire to uphold an organization’s reputation, sometimes at the expense of employee well-being. Our presentation of genderwashing is grounded not only in the work of Critical Human Resource Development (CHRD), but also in Dorothy Smith’s concept of ruling relations. These lenses enable us to examine how superficial attempts to address gender inequality within organizations fail to create structural change or disrupt engrained power dynamics. Furthermore, drawing on Sara Ahmed’s work on diversity and institutional silencing, we argue that genderwashing represents an organizational stance that purports to practice equality, even while women and other marginalized individuals experience little or no advancement. In regards to gender inequalities, we focus on how one organizational text, the Non-Disclosure Agreement (NDA) works to reinforce gender inequalities in organizations. We conclude with a call to action for practitioners and scholars offering suggestions for how to move beyond the stultifying practices of organizational genderwashing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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