Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
How do we talk about the environment? Does this communication reveal and construct meaning? Is the environment expressed and foregrounded in the new landscape of digital media? The Environment in the Age of the Internet is an interdisciplinary collection that draws together research and answers from media and communication studies, social sciences, modern history, and folklore studies. Edited by Heike Graf, its focus is on the communicative approaches taken by different groups to ecological issues, shedding light on how these groups tell their distinctive stories of "the environment". This book draws on case studies from around the world and focuses on activists of radically different kinds: protestors against pulp mills in South America, resistance to mining in the Sámi region of Sweden, the struggles of indigenous peoples from the Arctic to the Amazon, gardening bloggers in northern Europe, and neo-Nazi environmentalists in Germany. Each case is examined in relation to its multifaceted media coverage, mainstream and digital, professional and amateur. Stories are told within a context; examining the "what" and "how" of these environmental stories demonstrates how contexts determine communication, and how communication raises and shapes awareness. These issues have never been more urgent, this work never more timely. The Environment in the Age of the Internet is essential reading for everyone interested in how humans relate to their environment in the digital age.
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.
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 | 0.002 | 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it