Success story or tall tale? Discursive cooperation and economic restructuring in Iceland
Bibliographic record
Abstract
Political economists have long recognized the power of ideas to influence economic adjustment by shaping public policy and fostering inter-firm coordination. This article extends this argument, demonstrating how ideas can have a direct and unmediated impact on economic restructuring. More specifically, it identifies discursive cooperation, or collective storytelling, as a distinct logic of collective action, separate from policy concertation and inter-firm coordination. Examining twenty first century Iceland, this article illustrates how shared narratives accelerated the country’s movement into financial services and tourism by facilitating the diffusion of new business models and attracting external resources. Absent inter-firm coordination, policy concertation, or supportive public policies, however, stakeholders struggled to invest in public goods. Instead of incremental upmarket movement, Iceland was characterized by volatile boom-bust dynamics. In illustrating the transformative power of storytelling in small open economies, this article simultaneously highlights the perils of relying on discursive cooperation alone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".