How Can We Teach When We Are Constantly Learning? De/Colonising Canadian Literature in Grade Seven English Language Arts
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
In this paper, I explore the transitional spaces of teaching and writing by restorying an anomalous event in my teaching of Canadian literature in a grade seven classroom and my efforts to decolonise that teaching. Thinking with Elizabeth Ellsworth’s concept of pedagogy as it relates to knowledge in the making and the learning self, I take seriously the manner in which this pedagogy challenges the cultural myth of teacher as expert identified by Deborah Britzman. In my story of de/colonising teaching, a transitional space opens up when I become aware of the ways in which I work against the goals of decolonising in my very efforts towards them, the risks I take, and the damage I can do as I implicate myself and my students in this process. As I teach and as I write, I build from the ruins of this difficult knowledge what it means to de/colonise as an educator.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it