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Record W1953957854

TERRY EASTWOOD and HEATHER MACNEIL, Currents of Archival Thinking

2011· article· en· W1953957854 on OpenAlexaboutno aff
Caroline Williams

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsArt
DOInot available

Abstract

fetched live from OpenAlex

The aim of this collection of ten essays is to explore the "progression, direction, and drift of archival thinking about the nature and purpose of archives [,] and the role of archivists and archival institutions in the preservation of documentary heritage" (p.vii).The volume comprises three sections.Part 1, "Foundations," considers the development of archival theory over time; Part 2, "Functions," focuses on some of the pragmatic implications of managing records; and Part 3, "Models and Metaphors," examines some of the assumptions that have helped frame the archival mindset.This is primarily a Canadian product.The editors are well known Canadian academics Terry Eastwood and Heather MacNeil, based at the University of British Columbia and the University of Toronto, respectively.Of the eleven authors, six are Canadian (four academics and two professional practitioners); the remaining contributors are academics (three are from the United States, one from the United Kingdom, and one from Australia).The book exhibits a mainly Canadian context and largely Anglophone perspective, and focuses on record-keeping environments originally influenced by English governmental administrative practice.A more influential framework however, described by Heather MacNeil in her introduction, was that outlined by Terry Cook in 1997. 1 This highlighted two broad themes: that archivists are active shapers of documentary heritage, rather than passive, objective custodians; and that archival theory is determined by context, time, and place rather than being universal and unchanging.This approach, perhaps originally conceived as postmodern, is widely accepted today and underpins this work.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.991
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0130.025
Scholarly communication0.0090.009
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.186
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), 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
Published2011
Admission routes1
Has abstractyes

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