Peoples’ Uprising in North Africa and Middle East: Lessons Learnt and Challenges of Policy Implication-Egypt as an Illustrative Case
Bibliographic record
Abstract
A revolutionary wave that began in Tunisia fi rst and then moved from Egypt to Libya, Bahrain, Syria, Yemen, Morocco, Lebanon, Oman and other countries in the Arab world was perhaps the most discussed issue in 2011. Years of frustration vented out when people in most of the Arab countries came on the streets, demanding change. This particular article is an attempt to understand what made these people involved in such revolution and how these factors have an impact on policy implication from a change perspective. The study required extensive research and attempts have been made to make best use of existing literatures and secondary sources of information like newspapers, interviews at various news channels, online journals and blogs. Here in the article, Egypt has been taken as a case to narrow down the focus on one particular country taking into account the overall essence of the entire region and similarity in the context. Moreover considering the time and resource factors involved in this kind of work, was also considered while selecting a single case in order to come up with logical conclusions. Key words : People’s uprising; Arab spring; Confl ict; Policy implication; Do No Harm Resume Une vague revolutionnaire qui a commence en Tunisie d’abord et ensuite de l’Egypte a la Libye, Bahrein, Syrie, Yemen, Maroc, Liban, Oman et d’autres pays dans le monde arabe etait peut-etre la question la plus discutee en 2011. Des annees de frustration evacuee quand les gens dans la plupart des pays arabes sont venus dans les rues, exigeant le changement. Cet article en particulier est une tentative de comprendre ce qui a fait ces personnes impliquees dans cette revolution et comment ces facteurs ont une incidence sur l’implication politique dans une perspective de changement. L’etude a necessite des recherches approfondies et des tentatives ont ete faites pour faire le meilleur usage de la litterature existante et des sources secondaires d'information comme les journaux, des interviews a divers canaux d'information, en ligne des revues et des blogs. Ici, dans l’article, l’Egypte a ete prise comme un cas a affi ner la mise au point sur un pays en particulier en tenant compte de l’essence globale de toute la region et de la similarite dans le contexte. Par ailleurs compte tenu du temps et de facteurs lies aux ressources impliquees dans ce genre de travail, a egalement ete examinee lors de la selection d’un seul cas en vue d’arriver a des conclusions logiques. Mots cles : Soulevement populaire; Printemps arabe; Les confl its; Implication politique; Do No Harm
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".