Unsustainable Borders: Globalization in a Climate-Disrupted World
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
Climate change and the responses to it reveal starkly different assumptions about borders, security and the ethical communities for whom politicians and activists speak. Starting with the contrasting perspectives of international activist Greta Thunberg and United States President Donald Trump on climate change this essay highlights the diverse political assumptions implicit in debates about contemporary globalization. Rapidly rising greenhouse gas emissions and increasingly severe climate change impacts and accelerating extinctions are the new context for scholarly work in the Anthropocene. Incorporating insights from earth system sciences and the emerging perspectives of planetary politics suggests a novel contextualization for contemporary social science which now needs to take non-stationarity and mobility as the appropriate context for investigating contemporary transformations. The challenge for social scientists and borders scholars is to think through how to link politics, ethics and bordering practices in ways that facilitate sustainability, while taking seriously the urgency of dealing with the rapidly changing material context that globalization has wrought.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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