Bibliographic record
Abstract
The Canadian postwar economic boom did not include one western coal-mining region. When the Canadian Pacific Railway switched to diesel power, over 2,000 coal-production jobs were lost in the Crowsnest Pass and Elk Valley. The Lights on the Tipple Are Going Out tells the story of its fight for survival. Underground mine closures began in 1950, prompting attempts by unions, leftist parties, municipal governments, and business groups to save the local economy. Efforts to reindustrialize in the mid-1960s brought unregulated growth, unsafe working conditions, and pollution. Starting in 1968, new strip mines were built to produce metallurgical coal for Asia-Pacific steelmakers. Not only is this an interesting regional history, but the consideration of the role of labour unions, local communists, and grassroots environmentalists makes it especially compelling. Today, with technological change in steel manufacturing on the horizon, propelled by the climate crisis, Langford argues that the Crowsnest Pass and Elk Valley must look toward ecosystem restoration, sustainable economic activities, and the inclusion of First Nations in decision making in order to embrace a future beyond coal.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".