The nature of protest: constructing the spaces of British Columbia’s rainforests
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines the representations of nature circulating in a Greenpeace anti-logging campaign in British Columbia, Canada. The effort to stop industrial logging in a region of the central coast named ‘the Great Bear Rainforest’ is presented as a case study through which nature’s social production can be glimpsed. Part of the larger ‘war in the woods’ that gripped British Columbia throughout the 1990s, the campaign considered here pitted Greenpeace and other environmental non-governmental organizations and their grassroots supporters against the forestry industry and many members of resource-producing communities. Through an analysis of campaign literature, newspaper coverage and ‘letters to the editor’, it is argued that the preservationist position advanced by Greenpeace visually and discursively constructs a concept of pristine nature which appeals to urban populations, employs a neocolonial representation of First Nations peoples and the nature within which they are situated, and finds authority and legitimacy in ecosystem discourse. Drawing both on work by Matthew Sparke concerning mapping and the narration of the nation and on Haripriya Rangan’s identification of regionality as a key concept in understanding nature’s production, it is suggested that the construction of nature considered in this case study needs to be understood as part of an articulation of a particular west coast metropolitan identity.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it