Seeing Connections: Environmental History and Visual Culture
Bibliographic record
Abstract
Time and a Place 2010 Presentations NiCHE has archived 15 audio presentations from this event (http://www.niche-canada.org/node/9254) Held in various locations on Prince Edward Island, these presentations were part of the week long Time and a Place workshop held in June of 2010. The presentations are also available as videos on the UPEI website Citation: Dunaway, Finis. "Seeing Connections: Environmental History and Visual Culture." Time and a Place. 13 June 2010. Bio : Finis Dunaway is Associate Professor of History at Trent University, where he teaches courses in modern United States history, visual culture, and environmental studies. He is the author of "Natural Visions: The Power of Images in American Environmental Reform" (2005) and of articles in American Quarterly, Environmental History, Raritan, and other journals. He is writing a book tentatively titled "From the Atomic Bomb to Global Warming: The Environmental Crisis in American Visual Culture." Abstract : Why do images matter to environmental history? This lecture will draw on a wide array of visual texts — including landscape paintings, photographs, mass media, and contemporary art — to examine crucial methodological issues that arise at the intersection of environmental history and visual culture. I will explain how images can enrich our understanding of major problems in the field, from shifting cultural perceptions of the natural world to material changes in the environment and the emergence of various forms of environmental politics. Although most of my examples will be taken from U.S. history, I will discuss and attempt to model interpretive strategies applicable to diverse settings and contexts.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.156 | 0.001 |
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; both teacher heads agree on what is shown here.
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".