Throwing petrol on a fire: the human and environmental cost of tar sands production
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
In this opinion piece, independent researcher Jennifer Huseman and Senior Lecturer in Human Rights in the Institute \nof Commonwealth Studies, Dr Damien Short, examine Canada’s tar sands oil industry and its effect on indigenous \ncommunities. They describe how the industry ‘externalities’ of environmental degradation and pollution are seriously \naffecting the health of indigenous communities and threatening their physical and cultural survival. \nFurthermore,due to the enormous carbon footprint associated with the exploitation of the tar sands, the authors argue that they are a danger to us all. They call for a halt to tar sands expansion, the instigation of effective environmental clean-up procedures and measures to address the health issues facing indigenous peoples as a result of tar sands operations. They also call on national and international financial institutions to immediately withdraw funding from the tar sands expansion and operations.
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) | 0.000 | 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