Working People in Alberta: A History
Bibliographic record
Abstract
Working People in Alberta traces the history of labour in Alberta from the period of First Nations occupation to the present. Drawing on over two hundred interviews with labour leaders, activists, and ordinary working people, as well as on archival records, the volume gives voice to the people who have toiled in Alberta over the centuries. In so doing, it seeks to counter the view of Alberta as a one-class, one-party, one-ideology province, in which distinctions between those who work and those who own are irrelevant. Workers from across the generations tell another tale, of an ongoing collective struggle to improve their economic and social circumstances in the face of a dominant, exploitative elite. Their stories are set within a sequential analysis of provincial politics and economics, supplemented by chapters on women and the labour movement and on minority workers of colour and their quest for social justice. Published on the occasion of the 100th anniversary of the Alberta Federation of Labour, Working People in Alberta contrasts the stories of workers who were union members and those who were not. In its depictions of union organizing drives, strikes, and working-class life in cities and towns, this lavishly illustrated volume creates a composite portrait of the men and women who have worked to build and sustain the province of Alberta.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".