The effects of the Arab Spring on female labour force participation in the MENA region
Bibliographic record
Abstract
Abstract The Arab Spring (AS) event characterized the recent history of the Middle East and North Africa (MENA) region. It brought about various economic, political, and social conditions and transformations that affected women's well‐being and their status and participation in the labour market. Accordingly, this paper examines the short‐run and the long‐run effects of the AS on female labour force participation (FLFP) rates in the MENA region. The empirical analysis is implemented through the generalized method of moments (GMM) system estimator for dynamic panel models, using the basic (one‐step) and the two‐step approaches over different empirical specifications. The benchmark empirical results show that the AS is associated with moderate average increases in FLFP rates in the MENA region. The empirical analysis subsequently emphasizes significant variations and distinct patterns in the AS effects on FLFP rates across MENA countries, and it ties these findings to the AS‐related economic, political and social circumstances in these countries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".