Arctic in the Anthropocene: sustainability in a new polar age
Bibliographic record
Abstract
The Arctic provides one of the most striking signatures of climate change impacts. Accelerated loss of sea ice extent and thickness, loss in biodiversity, changing atmospheric circulation patterns, and melting permafrost portray only a few aspects of a rapidly changing Arctic. In recognition of the inter-, multi-, and trans-disciplinary (Keil 2015) discussions, tools, mechanisms, and implementation strategies necessary to address these challenging and pervasive issues of this century, the first Potsdam Summer School, entitled ‘Arctic in the Anthropocene’, took place in June–July, 2014. The summer school was coordinated by the Institute for Advanced Sustainability Studies (IASS), the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), the GFZ German Research Centre for Geosciences, the Potsdam Institute for Climate Impact Research (PIK), and the University of Potsdam, in conjunction with the city of Potsdam. The principal vision of the summer school was to eliminate disciplinary language barriers, and to foster communication amongst individuals trained in law and international relations, public health, and science, with the goal of extending an integrated science-policy dialogue for the benefit of humanity, the planet that we inhabit, and for which we share a collective responsibility.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".