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Record W773845594

COSTANZA CARAFFA, ed., Photo Archives and the Photographic Memory of Art History

2013· article· en· W773845594 on OpenAlexaffvenue
Theresa Rowat

Bibliographic record

VenueArchivaria · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsMcGill University
Fundersnot available
KeywordsArtVisual artsArt historyArchaeologyHistory
DOInot available

Abstract

fetched live from OpenAlex

This collection of papers challenges archivists and art historians to re-examine the use of photographic sources for the study of art history, and brings to the foreground the role of photography as a mediator in art history.While the title of the book will interpellate photo archivists, art historians, and visual resource librarians, the extensive analyses, case studies, and theoretical discussions could provoke parallel examinations in other fields of study that rely heavily on photographs -or even other types of records.The approach taken might also contribute to examinations of the interrelationship between media and discipline in ethnography, musicology, architectural history, and film studies.Be they field notes, audio recordings, photographs, or DVDs, what are the impacts of recordings or study surrogates on the disciplines that use them?For archivists, the readings in this book should lead to new considerations for archival appraisal, scholarly access, and digitization initiatives.The editor, Costanza Caraffa, is the head of the Photothek at the Kunsthistoriches Institut in Florenz -Max-Planck-Institut.In 2009, her institution and the Courtauld Institute of Art in London organized two conferences titled Photo Archives and the Photographic Memory of Art History; this volume is a compilation of the papers from these events.Twenty-nine authors, including art historians, photographic historians, museologists, and curators, have contributed.They are based at universities and collecting institutions in Europe

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score0.997

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.186
Teacher spread0.173 · 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 designTheoretical or conceptual
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
Published2013
Admission routes2
Has abstractyes

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