Creative Alaska: creative capital and economic development opportunities in Alaska
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 The flaws of the 20th century–type development ‘mega–projects’ in the circumpolar North prompt Arctic regions actively to search for alternative strategies of regional development that break away from resource–dependency and reconcile local (traditional) societies with the realities of post–Fordism and globalisation. This paper presents a study that focuses on the notion of creative capital (CC) and assesses its ability to foster economic development in Alaska. The findings suggest that some characteristics of the CC observed in Alaskan communities are similar to those found in southern regions, whereas others are distinct (but similar to those in the Canadian North). In Alaska, the synergy between cultural economy, entrepreneurship and leadership appear to be more important in characterising creative capacities than formal education. The geographical distribution of the CC is uneven and heavily clustered in economically, geographically and politically privileged northern urban centres. However, some remote regions also demonstrate considerable levels of creative potential, in particular associated with the aboriginal cultural capital (artists, crafters, etc.). A number of Alaskan regions, creative ‘hot spots’, could become places that can benefit from alternative strategies of regional development based on CC, knowledge–based and cultural economies.
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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) | 0.002 | 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 it