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Record W1964983356 · doi:10.7202/1027748ar

Walid Raad’s Double Bind: The Atlas Group Project, 1989–2004

2014· article· fr· W1964983356 on OpenAlexaffvenue
Vytas Narusevicius

Bibliographic record

VenueRACAR Revue d art canadienne · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

L’ Atlas Group Project de Walid Raad (1989–2004) élabore une contre-histoire des guerres civiles libanaises à partir de la création d’archives picturales qui interrogent les discours existants et perturbent les normes historiques établies. Raad a oeuvré pendant plus de dix ans sur ce projet, créant un corpus aux multiples facettes qui illustre les façons dont les récits historiques sont assemblés, autorisés et validés. Il dévoile la logique interne de l’archive et met en doute la préséance associée à certains types de discours d’autorité, en particulier la valeur témoin accordée à la photographie. Il souligne la faculté de persuasion de ce discours documentaire et le peu de résistance avec lequel il est accepté. De plus, Raad emploie l’humour et la fiction, examinant leur capacité à communiquer des connaissances utiles et la comparant à celle des faits historiques traditionnellement acceptés. Cette analyse du projet de Raad porte sur ce qui constitue la validité d’une archive, les protocoles auxquels l’archive est soumise, et, en particulier, le rôle de l’historien / archiviste dans le maintien de ces protocoles. En fin de compte, il s’agit de savoir si une contre-histoire est possible. La question devient alors : est-ce que la façon innovatrice dont Raad utilise les protocoles d’archives permet un nouveau type de récit historique, ou est-ce que les protocoles se réinscrivent subtilement dans son travail afin de le normaliser ?

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.026
GPT teacher head0.252
Teacher spread0.225 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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