Scaling hope: climate activism and land in adventure films
Bibliographic record
Abstract
This paper considers the relationship between land and hope in climate activism, and how they are entangled via leisure. Specifically, we aim to contextualise how we should be understanding and addressing climate change within leisure studies. To do so, we work through the Patagonia-sponsored documentary film The Scale of Hope, which follows former White House Climate Advisor Molly Kawahata and her efforts as both a climate change activist and an aspiring Alaska mountaineer. Reflecting on the numerous social and political themes and angles in the documentary, we explore intersections of land and hope via illuminating three of the film’s absences: the use of terra nullius to position land as a place to experience hope via leisure, the action of leisurely conquest as the individualisation of hope, and the relationship between hope and labour. Finally, we offer some suggestions for thinking about hope differently, taking up the notion of the feminist killjoy as an alternative to the film’s individualised and electoral hope.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".