Shaping policy in the Anthropocene: Gender justice as a social, economic and ecological challenge
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
Environmental pressures such as natural disasters, resource scarcity, and conflict related to climate change have emphasized the importance of considering social justice within its ecological context. Gender inequality is one type of injustice that has traditionally been addressed as a social matter, yet gendered divisions in bargaining power, mobility, and access to resources are exacerbated by environmental instability. One barrier to gender equity in the face of a changing climate is the mainstream economic paradigm, which promotes growth and individualism, often at the cost of environmental and social wellbeing. The issue of gender inequality in the Anthropocene, the proposed geological epoch highlighting human impact of earth systems, is explored here in three parts. The first section identifies opportunities for feminist and ecological economics to assimilate notions of justice in mainstream economic thought. The second considers dynamics of gender equality through an econometric analysis of macroeconomic effects of traditionally female-dominated unpaid care work. Finally, the third part investigates national progress toward the maternal mortality reduction target set in the United Nations' Millennium Development Goals and proposes a gendered perspective for the newly implemented Sustainable Development Goals. The dissertation concludes with a discussion of policy implications for national and international development institutions as they seek to improve gender equity in diverse social and ecological contexts.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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