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Record W2122544512 · doi:10.1017/s0010417512000084

Invisible Armies: Reflections on Egyptian Dreams of War

2012· article· en· W2122544512 on OpenAlexaff
Amira Mittermaier

Bibliographic record

VenueComparative Studies in Society and History · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpectacleGuard (computer science)Movie theaterMedia studiesPhoneHistoryVisual artsArtLawSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

In January 2011, people around the world turned their attention to Cairo's Tahrir Square. The news network al-Jazeera quickly became a window onto the square and surrounding streets, and news reporters became eyewitnesses to historical events. Aware of the media spectacle unfolding around them, Egyptian protesters over the following weeks held up signs in Arabic and English and, maybe unknowingly, staged highly photogenic scenes, for instance when Christians formed a human chain to guard Muslims during their prayers, and vice versa. During the first few days of the uprising, the regime shut down cell phone and Internet networks to prevent activists from communicating, but it could not stop their taking pictures and filming with cell phones and cameras. Every moment was carefully recorded, and today multiple initiatives are collecting films, photos, and audio recordings to preserve them in digital archives. In July 2011, activists set up an open-air cinema at Tahrir Square to screen and discuss footage of the protests. Subsequently video materials became crucial pieces of evidence in the courtroom where the former President Mubarak and ex-Interior Minister Adly were being tried. The Egyptian revolution was a highly visible and “mediatized” event. Its history can and has been told in images.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.348
GPT teacher head0.453
Teacher spread0.105 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2012
Admission routes1
Has abstractyes

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