Growth models, growth strategies, and power blocs in Turkey and Egypt in the twenty-first century
Bibliographic record
Abstract
Analysis of the growth patterns in the Global South in the twenty-first century suggests there is room for authoritarian states to search for new growth models. Authoritarian states, such as Turkey and Egypt, benefited from global financial circumstances in the early 2000s and experienced shifts in growth strategies in the 2010s, suppressing political space further. Our main research question, thus, is focusing on what the main domestic political economy causes of these growth strategy and model changes are. To explain the changes in growth strategies and models amid the strength of reinforced authoritarian regimes in these two countries, we employ a hybrid research strategy, tying growth model changes to conflicts within the power bloc. We argue that in the mid-to-late 2010s, peripheral goods producers gained the upper hand in Turkey, while a military takeover in Egypt was followed by the promotion of exports and new investments. We also contend that power bloc reconfigurations in the last decade and the rise of new growth strategies both in Turkey and in Egypt aimed to change previous domestic demand-led demand and growth models.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".