Of Literary Import: A Case of Cross-National Similarities in the Secondary English Curriculum in the United States and Canada
Bibliographic record
Abstract
This study compares and contrasts the selection and distribution of literary texts in the English programs of two diverse secondary schools, one in Massachusetts, USA, the other in Ontario, Canada. Analysis of the departments’ curriculum documents, state/provincial curriculum policies, and teacher interviews indicated that at both schools, Eurocentric and Anglo-centric literature dominated the curriculum of advanced courses. Analysis further demonstrated that texts of U.S. origin permeated the curriculum of advanced courses at both the U.S. and Canadian schools. A number of reasons for the similarities in the selection and distribution of literary texts across the two schools are considered, as well as the practical, cultural, and political implications of these curricular patterns. I argue in conclusion for a literature curriculum that reflects the historical and contemporary conditions of the transnational communities to which students belong. Educational stakeholders in local schools, policy makers, and teacher educators may contribute to the development and implementation of such a curriculum.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".