Bibliographic record
Abstract
“‘How do you Criticize a Life Story?’: Form, Trauma, and Memoir in Canada Reads 2020” investigates the practice of reading for empathy, as it pertains to memoir and trauma operating in the hypervisibility of the public sphere. The emotional connection between reader and author that memoir inspires is also encouraged on Canada Reads, the popular intersection of a literary contest and reality show. The panelists’ 2020 discussion of Jesse Thistle’s From the Ashes and Samra Habib’s We Have Always Been Here encouraged reading as a means of empathizing with the author’s experiences. As Danielle Fuller details, this is also how many viewers appraise the titles featured on Canada Reads, adopting a method of literary evaluation that is inherently personal. Memoir, given its connection to the real world and real people, becomes an excellent candidate for connecting with the reader. While Philippe Lejeune argues that memoir must be entirely non-fictional, G. Thomas Couser and Leigh Gilmore demonstrate that for a genre grappling with selective memory and trauma, this is impossible. As a result, memoir proves to be a genre that is both popular amongst readers and necessarily literary and inventive in its construction. The popularity of Canada Reads and memoir indicate that empathetic reading deserves a place in literary discourse, which in turn reimagines the Canadian literary canon and traditional methods of evaluation.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".