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Record W1853673702

Archives in 3D

2001· article· en· W1853673702 on OpenAlexvenueaboutno aff
Martine Cardin

Bibliographic record

VenueArchivaria · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Archival sciencePhenomenonHistoryComputer scienceSociologyEpistemologyLibrary scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This article examines the characteristics of archives (records) susceptible to modification by changes in context. After briefly defining the notion of context, the author proposes a complex analytical model, taking into account what archives are, what they do, and what they represent for their creators. By applying such a model to a traditional definition of archives, the author can identify the physical, functional, and symbolic characteristics of archives and explore how they have been conditioned by contexts of recording, communication, and memory making. If they hope to respond to new questions raised by information technology, widespread concerns over privacy, and the phenomenon of globalization, archivists must gain a better understanding of the processes which influence the nature, functions, and values of archives. This article was written with these challenges in mind. By way of a complex analysis of the various processes involved in the production of documents, it highlights the interplay of perspectives within which archives take shape. The exercise shows how the traditional definition of archives is much less static than might be thought at first glance. Archives are a composite, or whole, emerging from a tangle of perpetually interacting parts. Furthermore, this broad definition adapts to the * This paper is based on a paper the author presented at the annual conference of the Association of Canadian Archivists, Edmonton, Alberta, 22 June 2000. The author wishes to thank the National Archives of Canada, Terry Eastwood, and Steven Watt for their help in translating this text.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.677

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 head0.027
GPT teacher head0.201
Teacher spread0.174 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2001
Admission routes2
Has abstractyes

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