The History of the Book, Literary History, and Identity Politics in Canada
Bibliographic record
Abstract
National literary histories, like the Literary History of Canada , generally tend to perform exclusions on the basis of class, gender, race, language, and ethnicity; the only way to correct such past hegemonic exclusions is to assert the cultural legitimacy of specific communities' writings by writing new literary histories. Book history can be important for uncovering texts' transmission and reception histories surrounding the engagement of colonized groups with Western textualities, for its concentration on the institutions that mediate our engagement with literature, and for taking into account the institutions and economic forces involved with canonicity. The newly-established History of the Book in Canada/Histoire du livre et de l'imprime au Canada project (HbiC/HLIC) has a significant role to play in rethinking Canada's cultural pasts by incorporating work based on identity politics, thereby becoming a truly interdisciplinary and inclusive project.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.038 | 0.019 |
| Scholarly communication | 0.018 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".