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Record W7000659975

Gender and LGBTQ in museums. Approaches for including gender and LGBTQ identities into the displays and narratives of temporary exhibitions.

2017· dissertation· en· W7000659975 on OpenAlexaff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsExhibitionNarrativeQueerTransgenderInclusion (mineral)Gender identityIdentity (music)LesbianDoing gender
DOInot available

Abstract

fetched live from OpenAlex

Introduction 1. Theoretical framework: gender and LGBTQ identities in museum studies -'Gender' and 'LGBTQ' -Social inclusion -Approaches for including a multiplicity of gender and LGBTQ identities -Categories of analysis 2. Temporary exhibitions centred around or singling out gender and LGBTQ identities -Centring exhibitions around gender and LGBTQ identities -Singling out one gender and/or LGBTQ identity 3. Incorporating gender and LGBTQ identities in temporary exhibitions -'Queering' everyday objects -Including gender and/or LGBTQ identities in exhibitions dealing primarily with an unrelated subject matter Conclusion Appendix A: textual element Guerrilla Girls 1985 -now Appendix B: textual elements Grayson Perry -hold your beliefs lightly Appendix C: textual elements Cool Japan List of illustrationsBibliography gender identity is not the same as their biological sex. 8 As these examples show, progress has been made in the past decades, but seemingly straightforward matters are still complicated for people who are not heterosexual and for those who do not conform to a typical male or female gender identity.If this is the case in society at large, what can be said about the situation in museums?How do museums approach the social inclusion of a multiplicity of gender and LGBTQ identities into the displays and narratives of their temporary exhibitions?From the end of the previous century onwards, museums increasingly focused on the experiences of visitors to their institutions rather than concentrating almost exclusively on collecting and preserving objects. 9More than ever before, visitors, their motivations for visiting and their experiences while in the institution, have become central to the practices of museums.This changing focus, in combination with their often vast collections of objects, makes museums suitable places for presenting the histories and objects of various segments of the population, especially minority groups.Museums nowadays even have an obligation to use this suitability and be socially inclusive.This thesis focuses on gender andLGBTQ identities, which can be included in museums in several ways.Museums can adapt their acquisition policy and set targets for including a certain number of artworks made by female artists or artists with an LGBTQ identity or they can organise special events, lectures, and so forth.These strategies, however, are not the sort this research focuses on.Here, social inclusion is seen as best achieved through including a variety of gender andLGBTQ identities in the displays and narratives of museum exhibitions.In presenting collections and telling stories, museum displays construct narratives, communicate ideas and create knowledge about the subject on display. 10This makes them ideal instruments for helping people understand complex notions such as 'gender' and 'LGBTQ '. 11 Including objects and stories of people with a gender variant or LGBTQ identity further allows new voices and narratives to be incorporated into museums, which is pivotal, as there is a link between exclusion from museums and exclusion from society. 12Finally, the focus lies on temporary exhibitions because they usually generate substantial media attention and therefore potentially attract a wide and diverse audience.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
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 studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.244
Teacher spread0.154 · 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
Published2017
Admission routes1
Has abstractyes

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