International Perspectives on Museum Management
Bibliographic record
Abstract
International Perspectives on Museum Management is the first volume of the ICOM Museum Practice series. Exploring contemporary practices in the field of museum management, the book demonstrates how strategic vision and effective leadership can enable museums to fulfil their varied roles and empower staff to achieve their individual and collective objectives. Gathering together contributions that shed light on key aspects of running a museum in different parts of the world, the volume examines a wide range of topical issues from a management perspective. Chapters within the volume focus on governance and operations, communication and marketing, accessibility and community engagement, the decline in public funding, sustainability and risk management and planning a new museum or a renewal. As a whole, the book demonstrates that competent and creative museum management is vital to museums’ ability to survive and thrive in the face of decreased investment in culture and shifting expectations on the roles that museums should play within society. Containing insights from respected museum professionals around the world and focusing on topical issues, International Perspectives on Museum Management will be essential reading for museum practitioners working in all types and sizes of museum. The book will also be of great interest to students and academics who have an interest in museum management. The Open Access version of this book, available at www.taylorfrancis.com , has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.049 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".