Reverberating Echoes: Challenging Teacher Candidates to Tell and Learn From Entwined Narrations of Canadian History
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A key challenge confronting teacher educators is to help their students identify perspectives that depart from dominant historical narratives of a nation‐state’s development so as to potentially derive alternative meanings of shared pasts from marginalized perspectives. In this article, we examine the nature of this challenge both as a theoretical issue and empirical engagement with two classes of history and social studies teacher candidates. We identify several tensions involved in work with multiple perspectives that shape historical narratives: avoiding culturally reductive or stereotypical images of others, the taming of historical complexity for ease of communication, and something of a fraught encounter with the dissonance that echoes at the heart of historical identifications and perspectives. As we conclude, there is much to learn about teaching from engaging these tensions that emerge when we re‐read in a writerly manner what and how we have been taught.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it