Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The convergence of global issues—ranging from climate change to the erosion of cultural diversity—has created a watershed of opportunity or an unprecedented crisis for museums. The contemporary museum business model based on consumption, entertainment and ancillary education is increasingly unsustainable and irrelevant in this context. This article explores the concept of a more responsible museum and the need for a heightened sense of social, environmental and economic stewardship as the foundation for a sustainable future, in a time of profound social and environmental change for society at large. Obstacles to organizational effectiveness are discussed, as are methods for enhancing greater organizational awareness of societal issues. Examples of progressive museum practice are also presented by way of illustration. The possible consequences of inaction suggest the need for museums to transform their culture‐and‐industry business model into one of a locally‐embedded problem‐solver, in tune with the challenges and aspirations of their communities.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it