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Crafting History

2020· book· en· W4247069260 on OpenAlexaboutno aff
Albena Yaneva

Bibliographic record

VenueCornell University Press eBooks · 2020
Typebook
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsObsolescenceArchitectureCraftOntologyEthnographyVisual artsArtComputer scienceSociologyEpistemologyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

What constitutes an archive in architecture? What forms does it take? What epistemology does it perform? What kind of craft is archiving? This book provides answers and offers insights on the ontological granularity of the archive and its relationship with architecture as a complex enterprise that starts and ends much beyond the act of building or the life of a creator. In this book we learn how objects are processed and catalogued, how a classification scheme is produced, how models and drawings are preserved, and how born-digital material battles time and technology obsolescence. We follow the work of conservators, librarians, cataloguers, digital archivists, museum technicians, curators, and architects, and we capture archiving in its mundane and practical course. Based on ethnographic observation at the Canadian Centre for Architecture and interviews with a range of practitioners, including Álvaro Siza and Peter Eisenman, the book traces archiving through the daily work and care of all its participants, scrutinizing their variable ontology, scale, and politics. It addresses the strategies practicing architects employ to envisage an archive-based future and tells a story about how architectural collections are crafted so as to form the epistemological basis of architectural history.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.476
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)0.0010.000

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 head0.218
GPT teacher head0.173
Teacher spread0.045 · 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
GenreOther

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

Citations7
Published2020
Admission routes1
Has abstractyes

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