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Record W6926187171 · doi:10.20381/jr39-1p62

From Cultural Diplomacy to Cultural Transnationalism: The Contribution of Galleries, Libraries, Archives and Museums to the Evolving Narratives of Culture and Histories

2024· article· en· W6926187171 on OpenAlexfundno aff

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational and Social Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaArts and Humanities Research CouncilUK Research and Innovation
KeywordsNarrativeDiplomacyKey (lock)Public discourseCultural historyCultural institutionPublic history

Abstract

fetched live from OpenAlex

Galleries, libraries, archives, and museums (GLAM) are key institutions in shaping and articulating collective narratives of identity, culture, history, and society. A retrospective view of GLAM’s global history reveals a wide range of dynamics, approaches, and ideas about their role in producing and communicating these narratives. Historically, GLAM institutions have been shaped by dominant powers and often served as vehicles for reinforcing prevailing cultural and societal narratives. However, they also act as platforms for alternative practices, fostering efforts to rebalance public discourse on culture, identity, and history. This knowledge synthesis aimed to highlight the critical importance of GLAM institutions in fostering intercultural relationships. While significant literature addresses their involvement in cultural diplomacy—particularly their role in facilitating state-level diplomatic relationships through cultural exchange—this project sought to focus on five key 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)0.011
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0100.036
Scholarly communication0.0210.016
Open science0.0010.019
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.342
Teacher spread0.274 · 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 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
Published2024
Admission routes1
Has abstractyes

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