Web‐based discussion groups at stake: the profile of museum professionals online
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
Online forums help in stimulating debates and reflection on a wide range of cultural topics, as well as providing answers for museum professionals working in specialised areas. The main objective of this paper is to concentrate on the relevance of individuals interacting virtually within an informal knowledge setting, from which to judge the value of Web‐based discussion groups. However, little is known about how museum‐related forums target their audience and which subjects are of real interest to them. Arising from the statistical results of an international survey of users of online museum forums, the authors have investigated the users’ socio‐demographic profile, their content preference, and favourite Web‐based discussions (e.g. e‐mail lists, newsgroups, forums). The outcome of the collected data should be useful in further binding together the worldwide museum community, as there is great scope for enlivening interactions and empowering individual knowledge in various fields of expertise.
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 | 0.000 | 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 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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