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Record W2095606404 · doi:10.1139/a05-013

Nature as a theme in Canadian literature

2005· article· en· W2095606404 on OpenAlexaffvenueabout
Kate Turner, Bill Freedman

Bibliographic record

VenueEnvironmental Reviews · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTheme (computing)WildernessEcocriticismExpression (computer science)Natural (archaeology)NarrativeEnvironmental ethicsHistorySociologyAestheticsLiteratureEcologyArtArchaeologyBiology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.803
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.005

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.

Opus teacher head0.008
GPT teacher head0.211
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2005
Admission routes3
Has abstractyes

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