Does “Embeddedness” Create Miracles? The Case of the “Anatolian Tigers” in Turkey
Bibliographic record
Abstract
Drawing on different forms of embeddedness, this study critically examines the so-called economic miracles in the Anatolian region of Turkey, which are commonly known as the Anatolian Tigers. By decomposing the stories of the Anatolian Tigers as new loci of economic growth since 1990s, forms of embeddedness illustrate the spatio-institutional factors affecting both economic and non-economic realms with varying distillations from local institutional assets. These conditions became instrumental for both collectivizing interests of the leading local capitalists and disguising the negative consequences of the rapidly industrializing and urbanizing cities of Anatolia. Through open ended in-depth interviews conducted with leading actors in the cities of Anatolia, content analysis of the available resources published by local organizations and media, this study illustrates the role of multiple forms of embedding mechanisms that orchestrated “fragile” local economic miracles in Turkey.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".