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Record W2889578961 · doi:10.1386/public.29.57.128_1

Fugitives: Anarchival Materiality in Archives

2018· article· en· W2889578961 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

VenuePublic · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsUniversity of VictoriaSimon Fraser University
Fundersnot available
KeywordsMateriality (auditing)Transformative learningPhotographyResistance (ecology)Generative grammarVisual artsArtSociologyAestheticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract In analog and digital archives, issues of material loss are met with tools of resistance, ranging from simple freezers, to fire-resistant bunkers, to complex robotic systems. While entropy is usually resisted by archivists, this paper draws attention to what we call anarchival materiality, or the generative force of entropy in archives. We theorize anarchival materiality through our oral history research with archivists and curators and parallel video and photography work in the British Columbia Provincial Archives. We describe how non-human archives and their human stewards both constrain and enable preservation. Classification systems, spatial organization and human responsibilities are all fundamentally reshaped and determined by the uncooperative residents of archives, who constantly remind their caretakers of the transformative and organic passage of time.

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 categoriesInsufficient 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 score0.942
Threshold uncertainty score0.993

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.062
GPT teacher head0.252
Teacher spread0.189 · 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