Gender and Climate Change in Rural Australia
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 paper outlines the results of a literature review exploring the relationship between gender and climate change in rural Australia. Whilst the climate change debate in Australia has largely focused on environmental and economic implications, little attention has been given to the social implications of climate change. The focus of this study is on the climate change impacts on Australian rural women and men, with particular emphasis on the disadvantage experienced by rural women. A key finding in the review was that rural women and men adapt to climatic events, such as, drought and water shortages, in different ways. Outcomes of the review also highlight the dearth of Australian research that focuses on rural women and climate change. We contend that social workers have an ethical responsibility to be aware of the impact of climate change on disadvantaged groups, such as, rural women. The fact that gender equality has been largely ignored in the Australian climate change debate points to a need for social work involvement in climate change advocacy, research, and policy development, in an effort to redress the imbalance.
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 | 0.000 | 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) | 0.008 | 0.002 |
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