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Record W7132864950

Enlightened Preservation: Integrating Advanced Lighting Design in Preventive Conservation Strategies for Museums

2025· dissertation· W7132864950 on OpenAlexaboutno aff
Liu Xintian

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionVisitor patternDoorsGLARESmart lighting
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines how advanced lighting design can be integrated into preventive conservationstrategies in museums, with attention to accessibility and visitor experience. Using the Quilts: Made in Canada exhibition at the Royal Ontario Museum as a case study, the research explores the challenges of displaying light-sensitive textiles in ways that protect artifacts while supporting inclusive public engagement. Through fieldwork, museum professionals’ insights, digital modeling, and physics-driven lighting analysis, the study proposes alternative lighting configurations to address preventive conservation and accessibility needs. A calibrated digital model was developed to test two design scenarios: one emphasizing indirect ambient lighting and another focusing on case-based glare mitigation. This research contributes to ongoing efforts in museum exhibition design by highlighting how conservation, accessibility, and interpretive goals can be considered together in lighting strategies, and suggests a replicable framework for future applications.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.067
GPT teacher head0.355
Teacher spread0.288 · 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.

Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

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