Creating societies: immigrant lives in Canada
Bibliographic record
Abstract
Dirk Hoerder shows us that it is not shining railroad tracks or statesmen in Ottawa that make up the story of Canada but rather individual stories of life and labour - Caribbean women who care for children born in Canada, lonely prairie homesteaders, miners in Alberta and British Columbia, women labouring in factories, Chinese and Japanese immigrants carving out new lives in the face of hostility. Hoerder examines these individual experiences in Creating Societies, the first systematic overview of the total Canadian immigrant experience. Using letters, travel accounts, diaries, memoirs, and reminiscences, he brings the immigrant's experiences to life. Their writings, often recorded for grandchildren, neighbours, and sometimes a larger public, show how immigrant lives were entwined with the emerging Canadian society. Hoerder presents an important new picture of the emerging Canadian identity, dispelling the Canadian myth of a dichotomy between national unity and ethnic diversity and emphasizing the long-standing interaction between the members of a different ethnic groups.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.038 | 0.011 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".