Tradeswomen in the mining industry:Living and working in regional and 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
<div>This research aims to understand the nexus between the mining industry, employment in regional and rural Australia, and the role the mining industry plays, or could play, in the advancement of regional and rural women’s career opportunities. Of particular focus is the potential of the mining industry to provide opportunities for women to live and work in regional and rural Australia without the need to leave these areas to obtain training and employment opportunities in </div><div>metropolitan areas. </div><div><br/></div><div>The project investigates the problem of low numbers of women in skilled trade occupations in the mining industry and seeks to understand how the mining industry can attract more women into these roles in regional areas. The focus of the project is to support women to achieve opportunities to train and work in regional areas, to contribute to the vibrant sustainability of regional Australia, and to promote the business case for hiring women in the mining industry.</div>
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.007 |
| 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