Bibliographic record
Abstract
The internationally focused Dictionary of Museology reflects the diversity of cultural and disciplinary approaches to theory and practice in the museum field today. The museum world is changing rapidly, and the characteristics and social roles of the world’s approximately 100,000 existing museums are constantly evolving. In addition to their traditional functions of preservation, research and communication, museums are increasingly addressing issues related to social inclusion, human rights, sustainable development and finances, all of which are explored in this dictionary. Drawing on the support of an international editorial committee, including influential figures from the US, Canada, Brazil, Japan, Spain, Germany, France and the UK, this collaborative work produced by over 100 researchers from around the world provides an overview of this unique field by defining over 1,000 terms relating to museology. The Dictionary of Museology is intended for a broad spectrum of museum professionals, academics, researchers and students. The book will be especially useful to those working with international partners, since a common lexicon that conveys the complex reality of current social and cultural values is particularly vital for those working across borders.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.050 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".