First Nations People and Energy Transition: How to Increase Employment in Clean Energy
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
Training and employment will be a key determinant of whether the socio-economic position of First Nations peoples is improved through the energy transition, but there are few studies on how to increase First Nations employment in renewable energy. Our study, which focusses on Renewable Energy Zones in Australia, has four key findings. Firstly, employment and training mandates and incentives in government renewable energy auctions can increase First Nations employment, but a ‘coordinated flexibility’ approach is required which accommodates regional variations, differences in occupational structure between technologies and integrates First Nations businesses. Secondly, training-led initiatives have a poor job-creation record, but programs for school students and the unemployed are required to build the labour supply to meet procurement targets. Thirdly, wherever possible, demand and supply-side instruments should be integrated within clean energy programs (e.g. housing retrofits). Fourthly, complementary measures are required which resource industry to achieve targets, improve cultural safety in workplaces and build the capacity of First Nations organisations.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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