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Record W223485041

The War on Film: Reanimating the Post-9/11 Viewer in the Prisoner, Or: How I Planned to Kill Tony Blair

2009· article· en· W223485041 on OpenAlexaboutno aff
Brian Gibson

Bibliographic record

VenueCineaction! · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterHumiliationShot (pellet)Media studiesNothingSpanish Civil WarLawFilm directorHistoryArt historySociologyVisual artsArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

We have done nothing. ... Yes, you see that in camera. --Yunis Khatayer Abbas The war in Iraq, officially launched in March 2003, has become most filmed war in cinema's 114-year history. In its first six years, there have been news photos and footage, videorecordings of hostages and their executions, civilian-shot images, Army photos and images of air-strikes and other attacks, leaked photos and video-camera recordings of prisoner humiliation and abuse in Abu documentary films, and feature films. (1) The audience for those films about war, at least those shown at theatres or released on DVD, has been remarkably small. Even this paper's focus, documentary The Prisoner, Or: How Planned To Kill Tony Blair (2006-07) (2), although it followed directors' critically-acclaimed Gunner Palace (2005), saw limited release in United States and in Canada, only coming out on DVD in many cities; directors' third Iraq war documentary, Bulletproof Salesman (2008), has not yet even been picked up for distribution in North America. Not only did polls find that, two years after horrific photos were released, in the summer of 2006 ... a majority of respondents hadn't heard of Abu Ghraib, but in cineplexes or rental stores, given opportunities to see more of war ... American audiences appear markedly averse. (3) Critics have focussed on an American, even North American (Canadian soldiers have been in Afghanistan since 2002), audience that hasn't been willing to watch war through a film lens. But what if that is because they have been so used to watching war through a camera all along? SETTING THE STAGE: FROM FALLING TOWERS TO HUMAN PYRAMIDS Jeff Birnbaum, a company president and a former fire chief and emergency medical technician, remembers what saw on September 11, 2001 because of what he says seems almost like a 'videotape in my head': (4) The sight was amazing. was just totally awestruck. ... have seen plenty of death in my life, and burned bodies and so forth, but this was incredible. ... [Near South Tower,] stood there for a second in total awe, and then said, 'What F[uck]?' honestly thought it was Hollywood. Birnbaum later cried at images of death on TV, was plagued by nightmares, and talked to a priest at a counseling center. But his initial reaction was a kind of whoa! cool! sense of awe, and felt what saw did not just resemble a movie, but was a Then there is memory of Lakshman Achuthan, who escaped from Tower 1, reported in The New York Times next day: I looked over my shoulder and saw United Airlines plane coming. It came over Statute [sic] of Liberty. It was just like a movie. (5) The collapse of towers and killing of thousands may have been unthinkable, article's headline puts it, even unimaginable, but it was not, apparently, uncinematic. Cinema replaces imagination here, mind's eye and memory become cameras, and New York City is screen onto which a disaster- or war-film is projected. Movies provided precedent, especially three years earlier, when Armageddon (1998; dir. Michael Bay) showed meteors striking World Trade Center. And most people saw planes strike towers on TV, over and over, in slow-motion replays, on all kinds of networks (I first caught horrible news on MuchMusic). Bill Schaffer notes, Viewers around world found themselves cast in role of real-time witnesses with one Australian TV network miniaturizing moment of impact as a small animated icon permanently displayed in corner of screen, automatically resetting itself at end of each momentary cycle (6); did this repetition benumb viewers, creating a kind of atrocity boredom? Five years later, then, stage seemed largely set for a wide non-response to Abu Ghraib photographs. …

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.335
Teacher spread0.301 · 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.

Study designNot applicable
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

Citations0
Published2009
Admission routes1
Has abstractyes

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