The Arab Spring and Online Protests in Iraq
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
This article traces the influence of the Arab Spring on Iraq as activists staged fervent protests against the corruption, sectarianism, and favoritism of Nouri Maliki's government. A group of young Iraqi intellectuals, journalists, students, government employees, and unemployed youth posted their plan to organize demonstrations against the government using social media in February 2011. This study investigates the use of Facebook and YouTube, which bypassed the government's attempt to limit the coverage of these protests. Indeed, the events during the Arab Spring in Iraq crossed sectarian lines and united Iraqis against the Shiite-dominated government. I examine the five most popular Facebook pages and more than 806 YouTube clips and their 2,839 comments related to the Iraqi Arab Spring. The study reveals that young Iraqi men between the ages of 25 and 30 were the most active bloggers, while those between the ages of 20 and 24 were the most active commentators during the protests. Iraqis living in the United States and Canada played an important role by posting YouTube clips and comments. A gender disparity was evident; Iraqi men posted more video clips and comments than women.
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.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it