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Record W4400359094 · doi:10.14324/111.9781800087040

Collections Management as Critical Museum Practice

2024· book· en· W4400359094 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUCL Press eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryGeography

Abstract

fetched live from OpenAlex

There is a common misconception that collections management in museums is a set of rote procedures or technical practices that follow universal standards of best practice. This volume recognises collections management as a political, critical and social project, involving considerable intellectual labour that often goes unacknowledged within institutions and in the fields of museum and heritage studies. Collections Management as Critical Museum Practice brings into focus the knowledges, value systems, ethics and workplace pragmatics that are foundational for this work. Rather than engaging solely with cultural modifications, such as Indigenous care practices, the book presents local knowledge of place and material which is relevant to how collections are managed and cared for worldwide. Through discussion of varied collection types, management activities and professional roles, contributors develop a contextualised reflexive practice for how core collections management standards are conceptualised, negotiated and enacted. Chapters span national museums in Brazil and Uganda to community-led heritage work in Malaysia and Canada; they explore complexities of numbering, digitisation and description alongside the realities of climate change, global pandemics and natural disasters. The book offers a new definition of collections management, travelling from what is done to care for collections, to what is done to care for collections and their users. Rather than ‘use’ being an end goal, it emerges as a starting point to rethink collections 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.

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.508
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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.283
Teacher spread0.231 · 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