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Archive and Affect in Contemporary Photography

2009· article· en· W2049774472 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhotography and Culture · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsWestern University
Fundersnot available
KeywordsAffect (linguistics)EphemeraPhotographyVisual artsNegotiationAestheticsCultural memoryTransactive memoryAffect theoryArtSociologyAnthropologyPsychologySocial scienceSocial psychologyCognitive psychologyCommunication

Abstract

fetched live from OpenAlex

This article concentrates on two contemporary photographers, Greg Staats and Arnaud Maggs, whose work generates an affective response by engaging in an archival practice. Drawing on Jill Bennett's analysis of affect in contemporary art, including her discussion of the way work can be transactive, Bassnett considers how the work of these artists addresses viewers, and how different archival practices unsettle conventional viewing relationships. In the case of Staats, affect is activated by his engagement with archival sources. Staats draws on family history and Iroquoian traditions to address individual and cultural loss in a process that translates what Bennett calls “sense memory” into “common memory” through art discourse. With Maggs, it is the artist's archiving of cultural ephemera that engenders an affective response. The objects Maggs photographs have been taken out of their cultural and historical contexts and relocated within the discourse of art. Through an analysis of the way selected works produce affect, Bassnett argues that these approaches to photography as an archival practice offer ways of negotiating individual and cultural loss.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.259
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