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Record W2310218814 · doi:10.14288/1.0087473

Archival exhibitions: purposes and principles

2009· article· en· W2310218814 on OpenAlexaffabout
Heather Marie Gordon

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsExhibitionVisual artsArt

Abstract

fetched live from OpenAlex

Most information on exhibitions found in the museum and library literature is of little use to the archivist faced with preparing an exhibition of archival material. A body of literature exists dealing with the allotment of institutional resources to the exhibition function and with the physical care of archival material on exhibition. However, little has been written about the principles governing an archival exhibition's inspiration and development, principles that need to be identified before addressing the methods and practice of mounting an exhibition. This thesis is a response to that need. Exploratory, rather than descriptive or explanatory, its purpose is to identify the principles governing the creation of archival exhibitions, not the practicalities or mechanics of mounting them. Primary sources for this study are exhibition catalogues and brochures solicited from various Canadian archival institutions as well as the letters from members of the Canadian archival community that accompanied the catalogues and brochures. The thesis first establishes that the creation of archival exhibitions is subject to fundamental archival theory. Then, it addresses the ideal motivations or purposes behind thematic, celebratory, institutional, and functional exhibitions and demonstrates that they are linked to the mandate of the archival institution and the nature of the targeted audience. The thesis concludes that archival exhibitions have a responsibility to promote the archival institution and its holdings and to educate people regarding archival functions and services, and that institutional and functional exhibitions are, by definition, best designed to accomplish these objectives.

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)0.008
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0090.044
Scholarly communication0.0190.007
Open science0.0020.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.165
Teacher spread0.150 · 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.

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

Citations4
Published2009
Admission routes2
Has abstractyes

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