Bibliographic record
Abstract
In a few short decades before the First World War, Calgary was transformed from a frontier outpost into a complex industrial metropolis. With industrialization there emerged a diverse and equally complex working class. David Bright explores the various levels of class formation and class identity in the city to argue that Calgary's reputation as a prewar centre of labour conservatism is in need of revision. Bright also delineates the trials of the Calgary labour movement in the 1920s. Internal divisions and dissent prevented the movement from realizing the potential strength of the working class. Instead, even as local capitalism restructured itself, political and industrial labour organizations wilfully fragmented their own base of support. In particular, they failed to address the concerns and needs of the growing number of unemployed in the city, a neglect that foreshadowed events of the 1930s. This failure left the labour movement unable to meet the challenge of the Great Depression. In part, at least, the demise of labour as a viable political alternative in Calgary paved the way for the rise of Social Credit. Using Calgary as a model, The Limits of Labour reasserts the need to place class formation at the heart of the development of western Canada and provides an historical context to the renewed struggle of labour for social justice in the 1990s.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.043 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".