RELIGION, TECHNOLOGY AND SOCIAL CHANGE: REPRESENTATIONS OF MUSLIM WORLD IN ACADEMIC ANALYSES OF THE ROLE OF SOCIAL MEDIA IN THE ARAB SPRING
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 deconstructs the dominant constructions and portrayals of the Muslim world in literature on social media and civic engagement in relation to the Arab Spring. A critical reading of literature on social media and ‘Arab Spring’ shows that analyses by Western scholars and commentators are still grounded in ‘modernist dualism’ and orientalist understandings. The article starts by tracing the history of technology to argue that analyses of social media’s educational and civic potential within the Western context in general, is continuation of arguments about earlier technologies in relation to societal development. However, when it comes to analyzing social media and civic engagement particularly in the Muslim world this tendency gets muddled with another well-established trend, that of Orientalism. The overall impact of this tendency results in restricting majority of arguments within the essentialists/determinists paradigm. Such analyses essentialize the technological aspects of social media as universal and constitute the West as civilized, democratic, multicultural, and progressive. On the other hand Muslim world is represented as uncivilized, undemocratic, uncultured, and chained in past traditions. Thus, there is a need for a nuanced understanding of the relationship between the social media and civic engagement in the Muslim world, which can be conceptualized by framing the issues within a postcolonial critique of neoliberal globalization. DOI: 10.15408/tjems.v1i2.1264
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it