Veillance in <i>Verax</i> and Āyālw (<i>Ialu</i>): Two countries, one concern
Bibliographic record
Abstract
Noha F. Abdelmotagally* Department of English, Faculty of Al-Alsun (Languages), Ain Shams University, Cairo, EgyptNoha F. Abdelmotagally is associate professor of English Language and Literature in the Faculty of Al-Alsun (Languages), Ain Shams University. She has participated in various conferences and research projects both home and abroad. Her teaching areas are Research Methodology, Contemporary Prose, Nineteenth Century Literature, Modernist Literature and Life Narratives at both under and postgraduate levels. Her research and publication interests include comparative and interdisciplinary studies, feminism, ecology, sociology, and psychology. She has published articles on writing by women of African-American, American, Arab, Arab-American, British, Canadian, and Latin origin. She is the author of numerous articles and several book chapters in English and Arabic.CONTACT Noha F. Abdelmotagally nohafaisal@yahoo.com Cairo, Egypt, 4 (A) Elgabarty Street, Manshiet Elbakry, Khalifa Maa’moun, Cairo 11341, EgyptThis article was originally published with errors, which have now been corrected in the online version. Please see Correction (http://dx.doi.org/10.1080/21504857.2019.1678807)ABSTRACTVeillance is Steve Mann’s term for the act of mutual watching which has crept into our postmodern life and has triggered people’s concern over the widespread invasion of their personal lives. Though the different forms and practices of veillance, like surveillance, dataveillance, sousveillance, counterveillance, equiveillance, autoveillance, and dreamveillance (a term I coined), are hard to describe, graphic novels can provide stimulating points of reference for exploring them. The (non-)verbal pictorials they offer engage the readers/viewers, sharpen their understanding of the true essence of veillance and help them reflect on their own situation. The growth of veillance technologies and practices and the sur/sous/veillance nexus of mutual watching is the focus of Pratap Chatterjee and Khalil Bendib’s Verax: The True History of Whistleblowers, Drone Warfare, and Mass Surveillance and Mostafa Youssef’s Āyālw: Haql ālāḥlām (Ialu: The Field of Dreams), two black and white graphic novels from two different countries: USA and Egypt. Engaging with the works of Steven Mann and David Lyon, and other writers concerned with surveillance studies, my article considers the multiple veillance practices evident within Verax (a true story) and Ialu (a work of fantasy), and the constant sousveillant’s attempts to defy the surveillant gaze of power.
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 | 0.001 | 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 | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".