Bibliographic record
Abstract
anadian literature: a construct bounded by the nation, a cultural byproduct of the Cold War era, a nationalist discourse with its roots in colonial legacies, a literature that has assumed transnational and global currency, a tradition often marked by uncertainty about its value and relevance, a corpus of texts in which, albeit not without anxiety and resistance, spaces have been made for First Nations and diasporic voices.These are some of the critical assumptions scholars have brought to the study of CanLit, as we have come to call it for the sake of brevity, but also affectionately, and often ironically as we recognize the dissonances inscribed in the economy of this term.Whether it is considered an integral part of the Canadian nation formation, an autonomous body of works, a literature belonging somewhere between nation and literariness, or a part of "world literature," CanLit has been subject to a relentless process of institutionalization. Sometimes subtly, sometimes crudely, it has always been employed as an instrument-cultural, intellectual, political, federalist, and capitalist-to advance causes and interests that now complement, now resist, each other.This is not a process peculiar to CanLit.From the literary traditions of Germany and France to those of Brazil, India, and Australia, literature has been mobilized as a discourse that, no matter the diversity of its particular aesthetic and formal configurations, has served the geopolitical and sociocultural ends of institutions that are often at odds with what it sets out to SMARO KAMBOURELI
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.509 | 0.335 |
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".