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Record W4313186983 · doi:10.5209/anha.83075

Thinking Onto the Box: The Photographer’s Archive as Instrument

2022· article· en· W4313186983 on OpenAlexaffabout
Michel Hardy-Vallée

Bibliographic record

VenueAnales de Historia del Arte · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsConcordia University
Fundersnot available
KeywordsNarrativeContext (archaeology)Visual artsPower (physics)ArtProcess (computing)HistoryComputer scienceLiteratureArchaeology

Abstract

fetched live from OpenAlex

Studies of photographic archives have tended to follow two distinct models: analyses of institutional archives as systems of knowledge and power, or close readings of objects informed by theories of material culture. Art historical research, in contrast, also seeks to determine intentional meanings behind images or artefacts. The archive of a photographer can thus be approached along three different angles: as a system for filing images and their meanings; as a collection of material objects; finally, as traces of use that correspond to specific intentional acts by the artist directed towards the production of artworks. In an art historical context, the archive can be read as a means towards an end. This paper presents a case study of Canadian photographer John Max (1936-2011) and his use of the archive to produce the landmark sequence Open Passport (exhibited 1972; published 1973). Using both documentary and material evidence shows how John Max’s photographic artworks are specified through a process of materially realized editorial decisions more than by the moment of exposure. These decisions in turn are mediated by material features of the archive, such as traces of previous choices on contact sheets. Finally, this mediating role of the archive is also socialized, integrating both collaborators and existing ideas, pointing at the necessity of a networked narrative in monographic studies of photographers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.736
Threshold uncertainty score0.999

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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.225
Teacher spread0.200 · 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
Published2022
Admission routes2
Has abstractyes

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