Diverse diversities—Open innovation in small towns and rural areas
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
Abstract It is generally accepted that cities and other forms of geographic agglomerations are conducive to innovation because their density and variety of firms, sectors and individuals create a diverse environment. However, a growing body of work shows that innovation also occurs in peripheral regions and small towns. Furthermore, work on rural social networks shows that diversity is multidimensional, and that along certain dimensions networks developed in rural areas are more diverse than those observed in cities. In this paper, we develop these arguments, then report our observations of seven successful firms in Swiss small towns. These firms benefit from at least three types of diversity: internal diversity; multiplexed interactions between workers at different hierarchical levels; and external diversity as firms reach beyond the region. We conclude that diversity conducive to firm‐level innovation is not a specifically urban attribute: at least some of its dimensions are present in small towns and more peripheral areas.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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