Reading forests: Contested ideologies and forest use in British Columbia.
Bibliographic record
Abstract
This thesis examines the interconnection between existence, culture, and ecology. Taking an interdisciplinary approach, I tie together anthropological discussions of culture, French philosophy, and forestry with locally inspired narratives. Specifically, I examine Brian Fawcett's Virtual Clearcut: The Way Things Are In My Hometown and Des Kennedy's The Garden Club and the Kumquot Campaign, a 'testimonial documentary' and a novel respectively. Both narratives illustrate local connections, histories, interpretations, and contentions concerning forest use through a central theme of logging. The narratives reflect the Romantic literary tradition of the pastoral, while focusing on ecocentric considerations. Overall, by drawing from Felix Guattari's ecosophy I avoid favouring anthropocentric or biocentric tendencies, thus acknowledging the importance of the role of subjectivity and multiplicity in ecological debates, which allows me to conclude that debates concerning forest use can no longer be polarized.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".