Glaciers and society: attributions, perceptions, and valuations
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
As icons of a world set in motion by human action, glaciers are often highlighted as quintessential evidences of global climate change. Although there is a general agreement among scientists that glaciers around the world are receding, much of the discussions on the subject tend to be oriented toward technological methodologies. Yet, as elements of the landscape, glaciers are strongly integrated to various societies around the world in ways that exceed their role as provider of fundamental sources of water. The relation between glaciers and societies is therefore marked by processes of attribution, perception, and valuation by local and distant actors. As a consequence, as they recede, glaciers often become the loci of interactions between actors of various scales. But besides melting, glaciers also transform from being objects of local to national and global concern. This is particularly true when esthetic and economic values are assigned to glaciers. Real and perceived changes in the form, reach and out‐flow of water impact the local populations, and shape the kinds of action undertaken by communities, local actors, state authorities, and international organizations. The paper concludes by arguing that place‐based research is fundamental to discuss a global environmental phenomenon such as glacier recession. WIREs Clim Change 2014, 5:793–808. doi: 10.1002/wcc.315 This article is categorized under: Climate, History, Society, Culture > Ideas and Knowledge Vulnerability and Adaptation to Climate Change > Learning from Cases and Analogies Social Status of Climate Change Knowledge > Sociology/Anthropology of Climate Knowledge
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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