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
This essay foregrounds various strategies by which Canadian Indigenous poets aim to articulate and work through their trauma through readings of the poetry of three poets, Chief Dan George (1889-1981), Rita Joe (1932-2007), and Peter Blue Cloud (1933-2011). It explores how the problem of trauma that comes from a colonial legacy of loss and pain, has been explored by a number of Indigenous writers as well as by scholars. These three Canadian Indigenous poets suggest in their poetry a diverse set of healing processes that may have the potential to provide healing spaces. I identify eight possible healing processes in their poetry: education, writing, intergenerational communication, learning Indigenous languages, learning about Indigenous histories and cultures, dance, song, and spiritual identification with animals. The poetry of these poets may suggest creating context and meaning for individuals by connecting them to society through collective movement, song, and rhythm.
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 | 0.001 | 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