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.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".