Women deserve better: A discussion on COVID‐19 and the gendered organization in the new economy
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
Abstract It is often thought that large‐scale shocks to society (e.g., war, epidemics, financial collapses etc) equalize societal inequalities, however, we have witnessed a one‐in‐century pandemic (and the economic downturn it has triggered), widen rather than narrow an enduring global injustice: gendered organizations. With women bearing the brunt of school closures, mass lay‐offs and increase in care duties due to lockdowns, racialized women at increased risk of COVID exposure due to essential worker status, and men reaping the benefits of rapid, technological transformations of the economy—largely amplified by pandemic disruptions—it appears that white, masculine bodies and abilities in the workforce are inoculated from the perils of disaster. Equality matters, especially in times of crisis. Following this idea, the author draws on Joan Acker's “ideal worker” concept to demonstrate how pandemic disparities in the workforce are challenging organizational practices, expectations, and experiences worldwide to evolve. This article concludes with a call for workplace policy reforms as a means to advance gender parity goals, as it is critical to achieving organizational inclusivity, and overall, a thriving society and economy post‐pandemic.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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