Bibliographic record
Abstract
The relationships of people with the natural world are expressed in diverse ways, including painting, photographs, sculpture, song, video, and literature. In this document, we review historical and contemporary portrayals of nature as a theme in Canadian literature. Our assessment is intended to explore how Canadians have articulated their feelings about nature through literary expression, and to thereby gain insight into their empathy for natural ecosystems and native species, and their concern about damage caused to those values. We begin with a broad overview of nature as a theme in cultural expression, including overarching ones in Canadian literature, and discuss the influential literary views of Northrop Frye, Margaret Atwood, and their critics. We then examine the expression of nature within seven focal areas: early aboriginal expression, narratives of explorers, stories of settlers, the genre of animal stories, 20th-century poetry, recent aboriginal literature, and environmental ideas in contemporary prose. We identify six dominant themes of the expression of nature in Canadian literature: (1) humans as a part of nature; (2) a bounty of natural resources; (3) fear of an adversarial wilderness; (4) improvement of nature; (5) regret of environmental damage and perhaps despair of the future; and (6) love and respect of species and natural landscapes. Finally, we discuss how nature as a theme embedded in Canadian literature can be harnessed to further the compelling objectives of environmental literacy by providing sympathetic insights into the relationships of people and society with the species and ecosystems with which they share Canada.Key words: nature, literature, culture, Canada, environmental literacy.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.045 | 0.032 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".