Visual Storytelling, Intergenerational Environmental Justice and Indigenous Sovereignty: Exploring Images and Stories amid a Contested Oil Pipeline Project
Bibliographic record
Abstract
Visual practices of representing fossil fuel projects are entangled in diverse values and relations that often go underexplored. In Canada, visual media campaigns to aggressively push forward the fossil fuel industry not only relegate to obscurity indigenous values but mask evidence on health impacts as well as the aspirations of those most affected, including indigenous communities whose food sovereignty and stewardship relationship to the land continues to be affronted by oil pipeline expansion. The Tsleil-Waututh Nation, based at the terminal of the Trans Mountain Pipeline in Canada, has been at the forefront of struggles against the pipeline expansion. Contributing to geographical, environmental studies, and public health research grappling with the performativity of images, this article explores stories conveying health, environmental, and intergenerational justice concerns on indigenous territory. Adapting photovoice techniques, elders and youth illustrated how the environment has changed over time; impacts on sovereignty-both food sovereignty and more broadly; concepts of health, well-being and deep cultural connection with water; and visions for future relationships. We explore the importance of an intergenerational lens of connectedness to nature and sustainability, discussing visual storytelling not just as visual counter-narrative (to neocolonial extractivism) but also as an invitation into fundamentally different ways of seeing and interacting.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.021 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".