Wild nature, disciplined aesthetics: framing environmental justice in the case of the Northern Gateway pipeline project
Bibliographic record
Abstract
Ce mémoire porte sur la façon dont la protection des étendues sauvages sert à diriger les interventions écologiques contre la croissance de l'industrie pétrochimique au Canada. Plus précisément, ce mémoire examine une série de documentaires qui critiquent le projet Northern Gateway: un gazoduc prévu pour livrer le pétrole brut d'Alberta à la côte ouest de la Colombie-Britannique, pour fins d'exportation trans-Pacifique. Cette recherche sert à décrire et analyser la manière dont ces films dépeignent l'environnement du Great Bear Rainforest comme une étendue sauvage immaculée afin de véhiculer leurs messages politiques. Je soutiens que cette esthétique sauvage crée une fracture conceptuelle entre nature et culture qui révèle l'esprit colonial et post-colonial du Canada. De telles représentations consolident l'assise et les prérogatives des autorités institutionnelles en tant que gardiennes de l'environnement. Se basant sur des des théories écologiques progressives, ce mémoire suggère que l'esthétique de la nature immaculée et les distinctions normatives que celle-ci entretient entre l'espace humain et l'espace naturel présentent un obstacle à la réalisation d'objectifs écologiques.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.072 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".