Bibliographic record
Abstract
The purpose of this report is to uncover the factors behind what has been a very strong productivity performance from the coal mining industry in Canada over the past four decades. It is found that real price movements have had a substantial impact on productivity growth in the coal mining industry in Canada. The real price of coal increased sharply in the 1970s due to higher demand caused by the oil price shock. This increased the profitability of sites of marginal quality and thereby lead to operations on less productive sites than those in production at that point. This had the effect of lowering the average productivity of the overall industry. However, since the 1970s, the real price of coal has fallen steadily, reversing this effect and hence contributing to the high productivity growth of the 1980s and 1990s. Another factor in this impressive productivity performance, at least in the 1980s, was the gradual closing of underground coal mines and the concentration of production on open surface mines. Surface mines typically have higher levels of labour productivity than underground mines, so this effect reinforced the price effect in increasing the average productivity of the industry. The 1990s saw the computerization of several stages of the production process, from site planning to extraction. Despite having the image of an old-fashioned industry, the coal mining industry in Canada is actually among the most intensive users of advanced technologies, and this certainly appears to have contributed to the industry’s strong productivity performance as well.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".