Bibliographic record
Abstract
Canada's rich literary heritage, dominated by a multicultural and multilingual presence, reflects the country's unique history and experience. In addition, an emerging body of new writers is redefining both the geographic and metaphorical boundaries of Canadian literature. Coupled with the propagation of digital technologies, Canada's burgeoning publishing industry presents unique challenges for both the introductory and seasoned literary researcher. Literary Research and Canadian Literature: Strategies and Sources provides researchers with the tools to navigate Canada's multifaceted literary scene. This guide addresses the tools and best practices for selecting and evaluating print and electronic sources related to the extensive and varied literature of Canada. Beginning with an overview of the strategies needed to conduct online research, individual chapters examine general literary reference materials; relevant online library catalogs, including national and union library catalogs; scholarly journals; archival collections; microform and digital collections; periodicals, literary magazines, newspapers, and reviews; and Web and electronic resources. Special topics discussed include "little magazines," scholarly gateways, and cultural resources. The guide culminates in a chapter that illustrates the application of the strategies explored to solve a research problem. The strategies discussed within the guide are applicable to both canonical and lesser-known authors, therefore making this work relevant to anyone interested in researching Canadian literature.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.027 | 0.017 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".