Ethnoscaping Canada's boreal forest: liberal whiteness and its disaffiliation from colonial space
Bibliographic record
Abstract
This essay examines the construction of Canada's boreal forest from the point of view of critical whiteness studies. Through an evaluation of two texts—a film and a book—produced in conjunction with a 2003–2004 environmental campaign, it argues that the boreal forest is constructed as a white ethnoscape and that, as a result, boreal forest conservation comes to be associated with ‘white’ identity, although by no means exclusively so, and certainly not without significant contradictions. The essay deploys Robyn Wiegman's notion of liberal whiteness to argue that liberal white subjectivity is cultivated in these texts by its self‐conscious distancing, or disaffiliation, from colonial spatial practices. It is argued that this distancing is achieved through the active inclusion of First Nations peoples in the texts such that the boreal forest is constructed as a socio‐natural working landscape. Liberal white disaffiliation is explored through three specific tropes: inclusion, inverted racial historicism and economic partnership .
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".