Bibliographic record
Abstract
How does one learn to be a good citizen? A good Canadian? Creating Citizens : History and Identity in Alberta's Schools, 1905 to1980 looks at the role schools have played in creating and sustaining a sense of Canadian identity for generations of Alberta students. History and social studies classes, more than others, are designed to prepare young students for meaningful citizenship and address issues of identity by interpreting the country's and the region's past. By examining history and social studies curricula and textbooks used in Alberta schools from 1905 to 1980, von Heyking shows how these materials helped shape the ways in which Albertans have identified themselves and their place in the world around them. The complex process of curriculum development is also explored; by clarifying how the framework of decision-making regarding school content was created, von Heyking provides valuable insights into current debates about the purpose and content of public education. By tracing the evolution of this curriculum over the course of seventy-five years, Creating Citizens gives the reader a unique opportunity to analyze the images of the nation and the region as they were taught to generations of Alberta schoolchildren.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".