Contentious politics, grassroots mobilization and the Icesave dispute
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
In 2008 Iceland experienced the deepest and fastest economic crisis ever recorded in peacetime, which included the total collapse of its financial sector, as well as significant erosion of its currency. This paper concerns a localized protest movement that occurred in the wake of the 2008 crash in Iceland: the mobilization of protest to a settlement deal, known as the Icesave settlement. We interviewed just over 30 actors involved in the mobilization, including politicians, activists, and academics. Our data show that both sides of the Icesave dispute drew on a set of three interwoven narratives, or framings of the debate, that respectively drew on ideas around natural justice, citizenship, and nationalism. Several key discursive intersections between these narratives and the political and economic landscape in the post-economic crisis not only rendered the Icesave dispute salient and commensurate with the experiences of Icelanders living through the crash, but also gave greater credibility to the no-Icesave campaign. We conclude by arguing that the Icesave dispute provides a unique lens onto central questions concerning democracy and the possibilities of meaningful citizen engagement and participation in an era of increasing globalization and of neo-liberal forms of economic governance. Our findings contribute to this literature by revealing some of the particularities of the Icelandic context that were important in creating the socio-historical moment that led to the success of the anti-Icesave movement.
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 | 0.000 | 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 it