Let the Students Map Canadian Studies: Exploring Stereotypes of Canada
Bibliographic record
Abstract
This article investigates the perceptions and stereotypes of Canada held by students in Nordic, Scandinavian, and Baltic countries participating in Canadian studies courses. Drawing upon eighty-seven papers submitted between 2021 and 2023, the study employs lexicometric analysis to discern recurring “othering” strategies employed by students. The interdisciplinary nature of the Canadian studies course, blending literature, history, and political science, aims to equip students with the knowledge necessary to examine the nuances of the Canadian social model. By examining cultural stereotypes, the study redefines Canadian studies as an integral component of (North) American studies, highlighting the importance of challenging initial representations and fostering critical thinking. Findings reveal students’ engagement in the process of othering, reflecting on Canadian identity, multiculturalism, and the integration of First Nations. The study underscores the significance of pedagogical interventions in creating spaces for transformation and critical reflection. Ultimately, it demonstrates the potential of area studies to assist students in structuring academic texts and encourages further exploration of themes related to memorial policies and reconciliation in courses on Canadian studies.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".