Bibliographic record
Abstract
5 Is it time to move beyond the culture of nature? This question lay at the centre of a conference held at the University of British Columbia in 2012, and both question and conference animate this theme issue. For decades, the phrase “culture of nature” has been deployed in Canadian and environmental studies to examine the cultural mediation of the rest of nature or tropes of nature and nation. Just what constitutes a culture or nature, or various proxy terms with their own complex histories like wilderness or environment, is neither agreed upon nor fixed. For some, the culture of nature is fundamentally a problem of cultural analysis to be approached through studies of representation and discourse. For others, the very phrase “the culture of nature” risks reproducing a false dichotomy constructed from a binary ontology. In a perceptive and sweeping consideration of the subject, Bruce Braun (2004) reviews diverse efforts to overcome nature/culture dichotomies in recent social and cultural theory, from the integrative practices of political ecology to the non-modern ontologies inspired by Bruno Latour’s actor-network theory. A host of neologisms have entered the fray, such as socionatures, assemblages, and hybrids, each of which raises its own possibilities and problems for thinking differently about causality, nature, and human action. In a sympathetic critique of these diverse efforts, Juanita Sundberg (2014) notes the dominance of Anglo-European terms and references in posthumanist theory and the absence of serious engagement with non-Western ontologies. What all of this means for the investigation of the culture of nature in Canada and how we might best address common concerns in Canadian and environmental studies is open for debate. Cultural analyses of nature in Canada long predate use of the phrase “culture of nature.” Some of the earliest contributions to Canadian scholarship identified the centrality of natural resources to national development and analyzed how staple products were wrested from beaver, trees, cod, and wheat (e.g., Innis 1930). The Laurentian interpretation of Canadian history cast the St. Lawrence River as a critical entry point to the continent and described it as an almost animate actor in a narrative of national origins (Creighton 1937). Canadians were fundamentally possessed, Northrop Frye argued in The Bush Garden, of a “garrison mentality” at siege from a hostile environment (1971, 225). While such touchstones remind us of the long-held and enduring connections between nature and culture in Canada, our point of departure is more recent and seeks not to deploy nature as an explanation of or justification for nation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".