Through Ecocriticism and Affect Theory, Exploring Climate Change Artistry: The Ice Receding/Books Reseeding Project
Bibliographic record
Abstract
This article delves into the Ice Receding/Books Reseeding project of multidisciplinary artist Basia Irland through the lenses of ecocriticism and affect theory, uncovering its profound significance as a climate change artwork. An example of participatory artwork utilizing transmedia storytelling, this project provides a transformative platform that immerses audiences in the realities of non-human climate change impacts. Through an ecocritical examination, the article explores the intricate dynamics of human-non-human relationships depicted in the project, while affect theory sheds light on the emotional responses it evokes. Ultimately, I argue that participatory art is a crucial tool for climate change communication and activism, advocating for its broader adoption in addressing environmental challenges and fostering sustainability through the direct involvement of participants. Analyzing Irland’s Ice Receding/Books Reseeding project, the article underscores the potential of climate change art as a powerful medium for effective environmental communication and offers practical guidance for communicators aiming to optimize its impact.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".